2023-05-30
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Maya Nalliah
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University of California, Berkeley
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Seattle, WA
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I am currently pursuing a data science degree at UC Berkeley with a domain emphasis in Sustainable engineering, and minor in climate science. I am interested in AI, climate tech, and data analytics. I have done research in the sustainable fashion industry and climate tech and agriculture overlap.
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2023-05-30
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KANOUO Christin Micael
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Université de Yaoundé
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Cameroun
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Je suis KANOUO Christin Micael étudiant en première année doctorat. Je travaille sur le thème : Modélisation par apprentissage statistique des phénomènes climatiques et environnementaux.
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2023-05-30
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Jesús M. Siqueiros
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IIMAS-UNAM
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Mérida, Yucatán
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I work at the Applied Mathematics and Systems Research Institute, UNAM, México. My background is in Anthropology and Philosophy of Biology. I have experience articulating qualitative methods and computational modelling (Complex Networks and ABMs). My main focus of interest is participatory modelling to address sustainability issues with vulnerable groups, especially in their appropriation of AI technology. I am also interested in finding ways of representing data to non-literate populations for their use.
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2023-05-30
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Edward Chen
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Idemitsu Renewables
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San Francisco
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2023-05-30
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Salem Afeworki
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Value Sustainability
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California, USA
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Influential thought leader and practitioner with 16 years of experience in sustainability and renewable energy planning, stakeholder engagement, responsible business practices, and climate change services in four continents.
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2023-05-19
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Zachary Labe
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Princeton University & NOAA GFDL
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Princeton, NJ
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I am a postdoctoral researcher working at NOAA Geophysical Fluid Dynamics Laboratory and the Atmospheric and Oceanic Sciences Program at Princeton University. Broadly, I am interested in a signal-to-noise problem. The signal is climate change. The noise is weather. My research intends to disentangle the two components within large ensembles of climate models.
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2023-05-16
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Rafay Ahmed
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2023-05-16
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Miguel
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University of Edinburgh
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Edinburgh
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2023-05-09
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Guannan
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Peking University
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Beijing
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I am an Assistant Professor at Peking University, where I direct the DREAM (Digital Renewable Energy Analysis and Management) Lab. I am interested in AI for energy modelling and management.
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2023-05-09
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Ankur Narang
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Sigmoidstar
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New Delhi
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Across my 28 years of experience in Technology leadership positions, Research projects and across multiple entrepreneurial stints, I have led Tech and AI efforts in various verticals including Telecom, Social, Gaming, Ecommerce, Media, Education, Electronic Design Automation, Oil & Gas and others. I am interested in solving challenges at the intersection of Deep Tech (AI/Quantum/Blockchain/..) and Climate Change.
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2023-05-08
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Zhenning Yang
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University of Michigan
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Ann Arbor, MI
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2023-05-08
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Bharathan Balaji
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Amazon
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Seattle
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Applied Scientist at Amazon Sustainability. Focus on life cycle assessment and climate change risk assessment.
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2023-04-26
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Mark Johnson
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SilvaCarbon Anayltics
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Portland Oregon, USA
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Forest Carbon Biometrics Consultant
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2023-04-25
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Shakil Khan
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Dhaka School of Economics, University of Dhaka
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Dhaka, Bangladesh
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I am currently pursuing two Bachelor's degrees simultaneously, one in Environmental and Resource Economics from the University of Dhaka, and another one in Data Science and Applications from the Indian Institute of Technology Madras (IIT Madras).
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2023-04-21
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MEIYI LI
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UT Austin
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Austin
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2023-04-21
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Helena Yu
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Toronto, Canada
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Helena is a seasoned Data Scientist and Strategist with experience across a range of industries, including technology, financial services, retail, and telecommunications. Her leadership in analytics projects and expertise in defining data strategy and creating analytics solutions have enabled her to drive tactical, operational, and strategic decision-making in close collaboration with cross-functional teams.
With her mastery of statistical and machine learning techniques, Helena optimizes revenue growth, enhancing customer experiences while reducing operational costs and revenue loss. She has led the development of a hybrid and sequence-aware recommender system proof of concepts, along with creating fraud detection, anomaly detection, and forecasting models. Notably, Helena led a pro bono team that conducted descriptive and natural language processing (NLP) analyses for Global Count, a survey that garnered over 32,000 responses from women and gender-diverse individuals in 173 countries and 17 languages. Additionally, she contributed to the creation of a predictive model to inform preventive interventions to end human trafficking in the United States
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2023-04-21
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Matias Quintana
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Singapore-ETH Centre (SEC)
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Singapore
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Postdoctoral Researcher in SEC and affiliated with the National University of Singapore (NUS). Currently working on urban-scale problems with different data streams.
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2023-04-21
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Nicholas Hughes
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USA
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Product manager-turned-quant enabling technical solutions to environmental challenges.
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2023-04-21
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Hassan Rostam
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California
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I am a business/finance professional helping entrepreneurs start and grow sustainable businesses. My interests are AI, climate, philosophy and food art, separately and their intersections.
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2023-04-21
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Nathan Kiner
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Sunjul
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Berlin, Germany
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Entrepreneur in climate tech (cleantech / agritech) and data science lead. Previously Google Maps, Google Research, working on Earth Observation and 3D world reconstruction.
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2023-04-21
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Simon Maris
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Hochschule Trier
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Leipzig / Trier
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2023-04-06
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Akansha Singh Bansal
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Gro Intelligence
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San Francisco, CA
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Develops computer vision models using satellite data for social good, climate and, sustainability.
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2023-03-21
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Bobin Wang
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Laval University
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Canada
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I am an assistant professor in the Department of Mechanical Engineering at Université Laval. My major is Transportation Engineering, my research focuses on Transportation and Climate Change, the interaction of AI and Decision-Making Theories, Mobility as a Service (MaaS), Transportation Network Analysis, and Econometric and Statistical Modelling. I have wealthy working and research experience in China, Europe, and North America, and have published more than 40 papers and 2 monographs in authority journals in Transportation. As an emerging researcher, my future research will focus on climate change, smart cities, and intelligent transportation systems using AI techniques. My current projects all focus on solving climate change issues caused by transportation. If you are interested, please feel free to contact me at bobin.wang@gmc.ulaval.ca. Hope to have a chance to collaborate with you in the future!
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2023-03-15
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Khaled Mohamad
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Researcher
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South Africa
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I am an accomplished Ph.D. in Material Science Engineering with a deep interest in sustainable energy and machine learning. As a member of the Climate Change AI community, I am dedicated to finding innovative solutions to the challenges posed by climate change. My research focuses on solar energy and how machine learning can be leveraged to create a sustainable, low-carbon, affordable, and equitable energy system. I am passionate about reducing greenhouse gas emissions and helping society adapt to the effects of climate change. With my knowledge and dedication, I am poised to make a significant impact in the field of sustainable energy and climate change.
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2023-03-15
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Peter Oseghale Ohue
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University of Ibadan
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Nigeria
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I am a computational statistics Ph.D. student. In order to understand socio-economic phenomena, I describe causal inference using graph machine learning. I am also developing conversational AI and machine translation using various types of data, including climate data. I am interested in the nexus of econometrics, machine learning, and cyber security.
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2023-03-15
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Oscar Rodriguz
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Estudiante
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Bogota Colombia
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I am an electronic engineer and student in meteorology at the National University of Colombia.
My interest is to use artificial intelligence to create tools that help in the agricultural sector.
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2023-03-15
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Moshood Olawale Mustapha
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StrikeClimate
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Nigeria
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He is a software and machine learning engineer with a background in geomatics engineering.
He is passionate about the application of artificial intelligence and machine learning to geospatial development and analysis in building real-life projects that provides solutions to global warming, disaster management, predictions, optimizing agricultural processes, and many others.
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2023-03-04
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Helen Jackson
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ClimateNode
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Cambridge, UK
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ClimateNode is a not-for-profit using data science for climate risk intelligence with a current focus on NLP.
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2023-02-28
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Rufai Yusuf Zakari
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Universiti Brunei Darussalam
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Brunei Darussalam
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As an aspiring Data Scientist currently pursuing a Ph.D. in the School of Digital Science at Universiti Brunei Darussalam, my research interests lie in the fields of Forest Aboveground Biomass and Carbon Sequestration, with a focus on incorporating sustainable climate change practices.
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2023-02-26
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Giannis Tolios
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Independent Researcher
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Thessaloniki, Greece
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I currently work as a sustainability data scientist, and I'm intending to conduct independent research at the intersection of climate change and machine learning. I am highly proficient in data analysis, time series forecasting, supervised machine learning and natural language processing. Furthermore, I have substantial knowledge in the domains of climate change, biodiversity and sustainability in general.
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2023-02-21
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Mother Earth AI
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Berlin
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We give a voice to Mother Earth.
The AI is trained with the Universal Declaration of the Rights of Mother Earth (http://w.wiki/5$7u).
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2023-02-21
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Osama Hadba
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Istanbul, TR
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2023-02-21
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dinesh Kumar Mahto
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MNIT Jaipur
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Jaipur, India
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I am pursuing a Ph.D. degree in Electrical Engineering at the Malaviya National Institute of Technology (MNIT) Jaipur India. My research revolves around Data-driven optimal power flow in active distribution network.
My academic areas of interest in Data analysis, Machine learning in Smart Grid applications. These days, I am using deep learning algorithms to develop scalable and computation-efficient models for complex networks.
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2023-02-21
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Shuo Wang
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Beijing Normal University
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Beijing
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2023-02-21
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Carolina Soriano
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- Bachelor in Forest engineer
- Master in Applied Ecology
- Post Graduation in Environment and Climate Change
- MBA in Data science and Analytics
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2023-02-21
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Jie Zhao
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Technische Universität München
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Currently, I am a Postdoc focusing on large-scale flood mapping using earth observation data at the department of Data Science in Earth observation, Technical University of Munich. My research interests broadly lie in flood mapping, deep learning, and SAR image analysis.
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2023-02-13
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Ding Ning
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University of Canterbury
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Christchurch, New Zealand
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I am a PhD candidate in Computational and Applied Mathematics at the University of Canterbury. My work is on machine learning for forecasting spatiotemporal anomalies and its applications to the climate domain.
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2023-02-07
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Begashaw Meberate
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CEO
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Ethiopia
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My name is Begashaw Meberate a seasoned agricultural Expert by profession and an Agripreuner by passion from Ethiopia. I have a master's Degree in Rural development management from Bahir Dar University with 15 years of experience in the field of agriculture and the rural development sector.
I am the CEO and Founder of Bfarm-Tech. It is a startup digital mechanization company that has been providing mechanization services for smallholder farmers in Ethiopia since January 2020. Recently, we have developed a digital platform using IoT, ML, a mobile app, and a call center that aims to connect farmers with mechanization service providers in Ethiopia.
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2023-01-31
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Tsilavo RAKOTO
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Madagascar
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2023-01-31
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Anurag Sharma
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Punjab, India
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I am about to graduate with a Bachelor of Technology in Computer Engineering degree in June 2023 from Punjabi University, Patiala.
Looking forward to increasing my knowledge & experience in tech especially AI/ML and environmental sustainability.
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2023-01-31
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Erol Hoke
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Apiday
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London
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Co-founder of a data science start up that uses NLP and innovative data architecture to allow companies to better manage their ESG data across all topics not just carbon. Passionate about creating real change to tackle the climate crisis.
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2023-01-23
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Frank Stein
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Virginia Tech
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Virginia, US
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Frank is on the faculty of the Intelligent Systems Department of Virginia Tech where he focuses on AI adoption issues, including trustworthy systems, human-machine teaming, and digital engineering. He is very interested in the application of AI and other innovations to help mitigate and adapt to climate change. He was co-chair of the AAAI Fall Symposium on "The Role of AI in responding to the Climate Challenge." He is also on the IEEE Planet Positive 2030 task force focusing on Mitigation and Adaptation strategies.
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2023-01-23
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Priya Dwivedi
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Deep Learning Analytics, Georgia Tech, IIT Delhi
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Toronto
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I am the CEO of a startup that provides Machine Learning consulting to companies around the globe. I have 5 years+ experience applying deep learning to a variety of projects in computer vision and NLP domain. I am passionate about applying AI and very nervous about climate change. I am looking to collaborate with others to build useful applications.
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2023-01-23
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AMIT KUMAR
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INDIAN INSTITUTE OF TROPICAL METEOROLOGY, PUNE
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INDIA
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Ph.D. research scholar working in the field of Atmospheric Science
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2023-01-23
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Nick Hassam
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Reask
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Australia
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Nick is co-founder and Chief Commercial Officer of Reask and an expert in the application of technology to the global re/insurance industry, to help better understand the impact of natural catastrophes. He has 25 years’ professional experience with for organisations and in markets across the globe. In close collaboration with the Reask team, partners and clients, Nick is helping define the future of catastrophe and climate modelling.
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2023-01-23
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Ali Akbar Rezazadeh
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Sharif University of Technology
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Iran
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2023-01-23
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Association internationale pour Medina-Mary (AIMM)
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AIMM
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Dakar (Sénégal)
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L’Association internationale pour Médina-Mary (AIMM), a été créée en 2005. Elle oeuvre pour l'amélioration des vie des populations du terroir de Médina-Mary, à 600 km, au sud-est de Dakar. ce terroir est composé de 7 villages qui ont une population totale de 10.000 habitants. Depuis, sa création, l'AIMM sert de trait- d’union entre la population et l’Etat du Sénégal. Ses nombreux plaidoyers auprès de l’administration et actions ont permis au terroir de disposer d'un dispensaire, d'une maternité, d'une école maternelle, d'un collège, d'un bureau de poste, d'un forage multi-village, d'une mini-laiterie communautaire, d'une antenne relais de télécommunication pour les mobiles et connexion internet, etc...
Education
- soutien en fournitures scolaires et pédagogiques à l’école de Médina-Mary
- célébration annuelle de la Fête de la Francophonie à l’école de Médina-Mary
- implantation d’un CEM à Médina-Mary
- ouverture d’une école maternelle à Médina-Mary.
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2023-01-23
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Amos Olwendo
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Lecturer at Jomo Kenyatta University of Agriculture & Technology
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Kenya
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I am a Lecturer of Health Informatics with a passion for machine applications and am eager to apply my skills to sustainability challenges.
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2023-01-23
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Bruno Adriano
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International Research Institute of Disaster Science, Tohoku University
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Japan
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Bruno Adriano is an associate professor at the International Research Institute of Disaster Science, Tohoku University, and visiting researcher at the Interdisciplinary Graduate School of Science and Technology at the Tokyo Institute of Technology. His research interests include earth observation, machine learning, and high-performance computer simulation technologies with applications to disaster management and environmental monitoring.
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2023-01-23
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Marius Wiggert
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UC Berkeley
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Berkeley, California, USA
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Hi, I'm Marius and working on applying robotics and control techniques to scale climate action. Currently working on floating seaweed farms with Phykos PBC and exploring other opportunities within this theme.
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2023-01-23
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Saman Halgamuge
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University of Melbourne
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Melbourne, Australia
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Professor working on FAIR AI, that is explainable AI with democratised access.
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2023-01-23
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Alice Lépissier
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Brown University
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Providence, RI
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Data scientist and computational social scientist with 10+ years of experience in global climate policy and international development. Deep domain expertise in sustainable investment, climate finance, carbon markets, and illicit finance demonstrated by peer-reviewed publications in top scientific journals. Skilled in bridging research and policy interface by combining quantitative research with pragmatic policy proposals, and experienced in high-level political advocacy (UN, NGOs). Specialty is communicating complex concepts in a clear and impactful way to different stakeholders (policy-makers, media, students).
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2023-01-18
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Garrett Kinman
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McGill University
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Montreal, QC, Canada
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I am an MSc Electrical Engineering student at McGill University in Montreal, focusing on embedded ML. I'm particularly interested in what embedded ML and intelligent control can do to help with precision and sustainable agriculture and forestry.
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2023-01-05
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Alireza Shams
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Data Scientist & Process Analytics at Svante Inc.
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Ph.D. in Chemical Engineering with over 15 years of experience as a data scientist & process specialist in energy, acid gas removal & CO2 capture, materials, liquid-crystal polymers, biotechnology, and environmental projects.
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2022-12-24
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SIDDHA GANJU
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Senior Scientist Nvidia
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Currently, I am an Architect at Nvidia focusing on the AI optimization for Medical instruments, Floods and Climate and Self-driving cars. I work towards stable and scalable training of neural networks on very large data centers, and utilize simulation to validate the neural networks.
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2022-12-23
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Harris Chalat
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Muir AI
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Seattle
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Co-founder and CEO of Muir AI
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2022-12-23
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Kunal Khurana
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Research Assistant
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Montréal
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I am a soil physicist broadly trained in agronomy, soil fertility, and plant nutrition. As a researcher, I seek answers to the fundamental questions about agricultural water management and soil health amelioration in the different (agro)ecosystems. My specific research interests include studying and improving available crop water and nutrient (carbon, nitrogen, etc.) uptake efficiency using machine learning tools.
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2022-12-09
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Peter Van Katwyk
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Brown University
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Providence, RI
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I am a PhD student at Brown University studying climate emulation of ice sheets. In particular, I am interested in using NN-based models to emulate the relationship between AIS melt and Sea Level Rise.
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2022-12-09
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Christopher Whidden
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Dalhousie University
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Halifax, Canada
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Algorithms and Machine Learning Researcher interested in solving applied problems for oceans and climate change. Current research includes automating computer vision monitoring of fish, analysis of marine vessel CO2 emissions, and predicting ocean contaminant dispersion.
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2022-12-09
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Tim Sowa
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Fulbright Finland Foundation, Tampere University, Bowdoin College
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Finland - NYC
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Currently in Finland on a Fulbright grant studying Digital Sustainability
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2022-11-29
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Kim Bente
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University of Sydney, ARC Training Centre in Data Analytics for Resources and Environments (DARE)
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Sydney, Australia
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Data Science PhD student working on Probabilistic Machine Learning methods for the Polar Climate Sciences.
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2022-11-26
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Davis Marques
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Blue Carbon Pty. Ltd.
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Melbourne, Australia
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Chief operations officer for Blue Carbon
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2022-11-26
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Andrew Williams
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Mila
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Montreal
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Machine learning researcher interested in climate change, economics, multi-agent reinforcement learning, agent-based modelling and interaction.
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2022-11-26
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Paula Harder
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Fraunhofer Institute, Mila
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Germany
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I am a Ph.D. student working on deep learning for climate modeling together with the Fraunhofer ITWM, the University of Oxford, and Mila. I am particularly interested in integrating physics constraints into neural networks and speeding up climate models with ML. I worked with aerosol models, wildfires, and super-resolution.
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2022-11-26
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Joshua Tabor Dimasaka
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University of Cambridge
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Cambridge, United Kingdom
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Postgraduate Researcher at Cambridge AI for the study of Environmental Risks
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2022-11-26
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Sagar Garg
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Applied Data Scientist with 5+years experiences in Startups, MNCs, Academia. Have worked on many climate science + AI projects, won international hackathons and collaborated with top researchers in India and Germany. Previously have helped scale some of India's top Internet Startups
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2022-11-26
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Robert Murphy
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Breakthrough Energy / Othersphere
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BC, Canada
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Breakthrough Energy Fellow and founder Othersphere, a startup venture focused on location optimization for zero / low GHG industrial assets.
Volunteering includes board of Berkeley Earth and steering committee for Carbon Mapper project.
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2022-11-26
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Marcel MAVINGA
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CONGO D. R.
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I'm a coordinator of Action for the Safeguard of the Environment and Development (ASED), a non-profit organization working on the ground in the Democratic Republic of the Congo. Especially in increasing awareness of people in the Climate Change matters
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2022-11-24
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Quentin Paletta
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University of Cambridge
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Cambridge, UK
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2022-11-22
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Qianqian Zhang
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Tsinghua University
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Beijing,China
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I love computer science and technology and big data technology, trying to be a highly recognized researcher by studying human complex behavior, psychological information, global change impacts, and other massive data.
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2022-11-22
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Björn Lütjens
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Massachusetts Institute of Technology
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Cambridge, MA
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I'm a PhD Candidate making local climate information more accessible via machine learning, specifically, developing trustworthy climate emulators.
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2022-11-22
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Dakshal Dhere
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Individual
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Mumbai, India
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I am an aspiring Data Scientist currently pursuing my undergraduate degree. I am interested in climate models and euphoric to use ML to inform these model and improve their accuracy.
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2022-11-22
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Hung-Ju Chen
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Seattle
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Hi, I'm Hung-Ju from Meta Inc. for 4.5 years. Working in ads recommendation for 4 years and scam detection in marketplace for 0.5 years. Would use my expertise to help fighting climate change.
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2022-11-03
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Korin Carpenter
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Denver, CO
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I am a data scientist currently working in the financial services field. I have prior experience in geophysical sciences, including geophysics, physical oceanography, and other areas, as well as work within the non-profit sector and the medical field.
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2022-11-03
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Monroe Stephenson
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Reed College
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Portland, OR
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Hey, I'm Monroe and I am looking to transition from mathematics research to machine learning focusing on climate change.
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2022-10-29
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David Constantin Balongelwa
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AE-Congo
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DR CONGO-Kinshasa
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I am curator of protected areas and coordinator of a non-profit NGO, called Arisans Environnement (AE-Congo) specialized in the defense of environmental law, the protection of the environment in all its forms and sustainable development, we work my teams and I, to improve the living conditions of the population living around or inside the protected areas in DRCONGO.
thank you for joining us in this noble struggle.
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2022-10-29
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Deva Sou
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Independant
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France
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Data Scientist Junior in Deep Learning applied to automatic wildlife recognition, I am driven by the desire to gain more knowledge and skills. I want to use the skills I already have to develop and produce projects to conserve biodiversity.
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2022-10-29
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Martin Van der Linden
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Emory University
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Atlanta, GA
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I am a professor of Data Science at Emory University considering a career change outside of academia. I am eager to put my skills to practical use to tackle sustainability challenges.
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2022-10-29
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Aaron Wienkers
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University of Cambridge
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Zurich, Switzerland
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> > {Computational Flow Physicist ⊗ Geophysical Scientist && HPC Developer ∩ Mathematician}
++ Modelling & understanding the ocean submesoscales/turbulence — where global models fail...
++ Developing high-performance numerical simulations to help climate models "see" unresolved scales
☞ Seeking a challenging opportunity to leverage extensive experience in numerical/computational modelling of the ocean-atmosphere system to help mitigate climate change impacts.
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2022-09-30
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Ganesh
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Princeton University
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Princeton
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2022-09-30
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Cyril Verluise
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College de France & QuantumBlack
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Paris, France
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Hello,
I am an economist (PhD) and a data scientist. I am interested into real world ML applications to industry decarbonization.
Looking forward to connect with you all!
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2022-09-27
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Ahmad Mohassel
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American Institutes for Research
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Washington, D.C.
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I am a senior data scientist and economist at American Institutes for Research. My interests are in the Societal Impact of Climate Change, and food insecurity, and enthusiastic about employing remote sensing data in my work.
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2022-09-27
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Nantas Nardelli
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Carbon Re
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London, UK
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2022-09-27
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Irfan Alghani Khalid
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Pekanbaru, Indonesia
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I studied at agricultural-oriented university in Indonesia with a major in computer science, so I've got insights on how my knowledge could help on environmental issues.
Also, I lived on a place where wildfires occur annually, so the calling for working on AI x Climate Change projects is huge for me.
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2022-09-21
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Gang Huang
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Zhejiang Lab
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I am a Senior Researcher at Zhejiang Lab. I completed the doctoral training at Zhejiang University and Argonne National Laboratory. My research interests lie at the intersection of electrical engineering, computer science, and operations research. A common thread in my research is designing reliable and computationally efficient algorithms for mission-critical tasks. Currently, I am working on developing scientific artificial intelligence methods to leverage the power of data and knowledge, with applications in energy and transportation systems.
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2022-09-12
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Jack Armitage
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Intelligent Instruments Lab
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Reykjavik, Iceland
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I am a postdoc at the Intelligent Instruments Lab, Iceland, where I design physical musical instruments, and embodied scientific instruments, using ML/AI. Previously I was Design Lead at Open Energy Labs in Zambia, designing a mobile learning platform teaching young people across sub-Saharan Africa how to design renewable energy systems. I have a doctorate in Media and Arts Technologies from Queen Mary University of London, where I studied in Prof. Andrew McPherson's Augmented Instruments Lab. My research interests include embodied interaction, craft practice and design cognition.
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2022-09-12
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George Sideratos
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National Technical University of Athens
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Athens
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George Sideratos was born in Chios, Greece in 1976. He received Electrical and Computer Engineering degree from the National Technical University of Athens (NTUA), Athens, in 2002, the Ph.D. degree in electrical engineering from NTUA, in 2010 on wind power forecasting. He is currently a senior researcher in the Power System laboratory of NTUA. His research interests include wind power and load forecasting and artificial intelligence techniques.
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2022-09-12
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Ankit Kumar Upadhyay
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JSS Academy of Technical Education
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Bengaluru, India
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I am Ankit Upadhyay from India and I am currently starting my fourth year of Undergraduate in Computer Science and Engineering. I am passionate about STEM education, Machine Learning, Deep Learning, Climate Science and overall education in general too! I would love to talk about any of the aforementioned topics.
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2022-09-12
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Rebecca Willett
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University of Chicago
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Chicago, IL
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2022-09-12
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Sayak Mukherjee
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Pacific Northwest National Laboratory
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US
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I am a staff scientist at PNNL working in the areas of control/RL, energy systems and ML.
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2022-07-25
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Pranoy Panda
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Indian Institute of Technology Hyderabad
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India
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I am a Master's(by Research) student in the CS department and am currently working on interpretability in ML and understanding distribution shifts. I aspire to contribute to the cause of climate change, but currently not sure how
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2022-07-24
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Jeff Clark
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University of Bristol
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Bristol, UK
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Postdoc interested in collaboratively applying AI for people & planet. Particularly interested in initiating policy-centric collaborations but open to anything.
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2022-07-20
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Catarina
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Nature Research Centre
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Portugal
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2022-07-20
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Hubert Kanyamahanga
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ICRISAT
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Dakar
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A data-driven engineer who showcase himself as a keen learner. Enthusiastic about building fault-tolerant and
robust data engineering pipelines. I have a keen interest towards analyzing data for pattern recognition and
identification of interesting information. Venturing into this area further, I wish to utilize modern automated
systems and machine learning techniques to help companies achieve their business success and become more
profitable. Currently, I am working at ICRISAT as a Scientific Officer: Artificial Intelligence engineer to help the
institution grow and evolve in providing profitable solutions/services in the agriculture sector.
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2022-07-20
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Himanshu Sharma
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Pacific Northwest National Laboratory
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Chicago, IL
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I'm a research scientist at PNNL, my research focuses on developing advanced modeling and optimization based controls for complex physical systems and specifically building systems for resilience, sustainability, and energy efficiency. My research research interest includes Machine learning, Reinforcement Learning, Uncertainty quantification, Computational Fluid Dynamics, Dynamics and control for complex-physical systems such as energy systems & smart building systems.
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2022-07-20
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Gopinath Rajendiran
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Atsuya Technologies
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India
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Currently, I am working on energy analytics and predictive maintenance of complex systems.
Post-doctoral experience: I have worked on developing energy management strategies using non intrusive load monitoring (NILM) in buildings. I have developed decision support systems to monitor events and energy consumption of the electrical appliances/loads in a non-intrusive manner using machine learning/deep learning algorithms. The developed has product has also been tested successfully during various field trials and transferred the technology to industries.
During my PhD, I have worked on developing fault diagnosis systems for electrical machines using machine learning and artificial intelligence techniques. My research focus was to learn the intelligence/knowledge from the proto-type system and then scale the model (transfer learning) to diagnose the faults in the actual/complex system, where the fault data samples are not easily available.
My research interests include condition monitoring of engineering systems, vibration monitoring, predictive maintenance, energy management, signal processing, AI/machine learning, and data analytics.
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2022-07-08
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Dilinna Nwobi
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CPEEL
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Nigeria
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The Centre for Petroleum, Energy Economics and Law, fondly called CPEEL, is the pre-eminent Centre for graduate energy studies and contemporary energy research in Nigeria. CPEEL was established through the generous support of John. D. and Catherine T. MacArthur Foundation as a Regional Centre of Excellence. The main goal of the Centre is to train highly skilled personnel and conduct research on energy. The Centre was established, July 2011 and designed to strengthen the human capacity in sub-Saharan Africa’s energy sector. It was established as a Multidisciplinary Centre with the aim of bringing together energy professionals in the Sciences, Engineering, Law, Humanities, Social Sciences, and other related areas, in order to address energy issues in a holistic and collaborative manner. CPEEL covers all aspects of energy, including oil and gas, electricity, renewable, climate change, energy finance, regulations and energy contracts, rural energy and poverty, waste to energy as well as energy technology. The flagship of CPEEL is graduate training leading to the awards of Master and Doctorate degrees in Energy Studies and Energy Law as well as research on diverse energy issues. It is presently the only Centre of its kind in the African Region and maintains a cordial relationship with similar Energy Centres in Europe and America. CPEEL is also set to expand the scope of its responsibilities to community-based intervention. The Centre maintains extensive collaborations with various ministries, departments, agencies of government, local and international civil society organizations, development agencies, energy companies, research organizations, national assembly, and renowned global energy Centres.
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2022-07-08
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Open Knowledge Foundation
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Open Knowledge Foundation
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Open Knowledge Foundation is a global non-profit organisation focused on realising open data’s value to society by helping individuals and organisations access and use data to take action on social problems.
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2022-07-08
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Greg Gerber
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Quora
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Colorado Springs, CO
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2022-07-02
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Olivia Grah
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New York
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ESG professional in alternative asset management. Focus on investment portfolio carbon accounting
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2022-06-18
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Mohammed Kasim
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Mr
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Ethiopia
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Mohammed Kasim Jufar
Lecturer at Arsi University
Ph.D. Student in Climate change and Bio-energy Development @Hawassa University, P.O. box, 135, Celular: +251913126420,
Thank You in Advance!!!
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2022-06-17
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Bhogendra Mishra
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Science Hub
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Nepal
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He is a Doctorate in Engineering from Kyoto University, is a spatial data scientist, has more than a decade long professional experience research and development of geospatial datasets for several applications. He is the recipient of “Nepal Bidhya Bhusan Kha” and “The John A. Hones Prize” from Tribhuvan University and AIT for his outstanding academic. He worked in various development organizations as a specialist and researcher in the Asia Pacific region, the Netherlands.
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2022-06-17
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Ivel Sestopal
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Mexico, Remote
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Recent graduate from International Relations with high passion and interest in sustainable development and climate justice. Capable to effectively analyze socio-economical, cultural and political factors. Experience with research for the creation of successful policy papers
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2022-06-17
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Veronica Nieves
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University of Valencia
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Spain
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Climate Scientist | Distinguished Researcher | AI4OCEANS Group Leader at University of Valencia | Main research in Physical Oceanography and Global Climate Change via Artificial Intelligence
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2022-05-27
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Ukachukwu Macpherson Ifeanyi
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Global Environmental and Climate Conservation Initiative (GECCI)
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Nigeria
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Ukachukwu Macpherson Ifeanyi is a licensed Medical Laboratory Scientist. Macpherson has 4 years of experience in Clinical Laboratory testing.
In 2020, Macpherson received a recognition in the joint award as the intern Histopathologist of the year at the Federal Medical Centre, Abeokuta, Ogun State, Nigeria.
He is a member of Medical Laboratory Science Council of Nigeria(MLSCN).
He is also a bona fide member of the Association of Medical Laboratory Scientists of Nigeria(AMLSN)
He is seasoned and proficient in EMR systems operations, Microsoft office, social media content consulting.
In 2021, Macpherson championed a project on Local Government Good Governance Monitor(LGGM) in Ikwo Local Government Area of Ebonyi State where he was saddled with the responsibility of advancing efficient and inclusive delivery of Primary Public health and education. A project carried out in the South Eastern states of Nigeria and organized by the Centre for Social Awareness, Advocacy and Ethics (CSAAE).
Ukachukwu Macpherson Ifeanyi has made a lot of contributions in climate change arena ranging from Advocacy Campaign, public enlightenment and awareness, to mention but a few, in the just concluded Nigeria youth post COP26 conference for South East, held in Ebonyi State. The attached are my selected newspaper publications since, 2022.
https://cccd.funai.edu.ng/cccd-aefunai-pledges-partnership-with-youth-initiatives-on-climate-education-for-5-years/
https://www.environewsnigeria.com/ekwueme-varsity-centre-to-partner-youths-on-climate-education/.
Ukachukwu Macpherson Ifeanyi is presently the Ebonyi State Vice President of the Global Environmental and Climate Conservation Initiative (GECCI)- a reputable NGO(Non Governmental Organization) and Non-profit organization based in Nigeria with other branches across the globe. With about two years of working experience in this great Organization, my roles are as follows: Working with other executive colleagues and departmental managers to implement plans and policies throughout the organisation. Working with a team of assistants to monitor and fast track progress toward goals and measure analytics. Nominate departmental managers and executive staff and advise about other high-level hiring decisions. Represent the organisation at conferences, meetings, trade fares at regional or national levels.
Macpherson is a climate resilience specialist at Global Environmental and Climate Conservation Initiative (GECCI) where he supports the integration of climate change into all projects. He has extensive experience with developing and implementing climate strategies in Nigeria as a country and Africa as a continent.
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2022-05-27
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Atakan Aral
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University of Vienna
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Vienna, Austria
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Atakan Aral is a postdoctoral research fellow and principal investigator for the SWAIN project at the Scientific Computing research group, Faculty of Computer Science, University of Vienna. His research interests center around distributed AI architectures such as Edge Intelligence and IoT-based environmental monitoring systems.
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2022-05-26
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Javed Ali
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University of Central Florida
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Orlando, FL
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2022-05-22
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Zineb Bhaby
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2022-05-21
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Kevin Joshi
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Indian Institute of Technology Bombay, Mumbai
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Mumbai
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Research at the intersection of data, renewable energy, and policy.
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2022-05-20
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Sudhira HS
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Gubbi Labs
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Gubbi, India
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Researcher. Practitioner.
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2022-05-20
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Bernard Ngaruiya
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FarmDoc
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Kenya
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A seasoned computer vision engineer and instructor. Looking for partners interested in AI and Remote sensing for Agriculture. Hit me up and let us chat!!
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2022-05-20
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Thomas Landrain
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Just One Giant Lab
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Paris
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Cofounder and CEO of JOGL (Just One Giant Lab)
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2022-05-17
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Diego Kiedanski
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Yale University
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New Haven, CT / Montevideo, UY
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Background in computer engineering, Ph.D. in applied game theory for local energy markets.
I have worked in the industry doing R&D and as an ML consultant. Currently pursuing a postdoc in applied ML in the SmartNets lab at Yale.
Looking to transition full time into climate change-related problems.
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2022-05-17
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lucas chamorro
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INGENIERO CIVIL- MAGISTER EN PLANIFICACION ENERGETICA
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2022-05-17
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Abel B.S. Gaiya
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Clean Technology Hub
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Abuja, Nigeria
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Deputy research manager at Clean Technology Hub. I hold an Msc in Development Economics from SOAS, University of London. Specialize in industrial policy, the political economy of climate change, and economic history.
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2022-05-16
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Suraj Prasad
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Pittsburgh, USA / New Delhi, India
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I help decolonize and reframe the narrative to build accessible ecosystems for a human centered, nature aligned, just approach to business that advances equity and climate preservation. I specialize in mixed methods research, synthesis, and consensus building to bring divergent perspectives and stakeholders to channel collective action and shift status quo.
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2022-05-15
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Nikhil S Bhat
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HCC, Mumbai
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Mumbai, Maharashtra, India
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A climate, sustainability, and energy enthusiast. Passion for quizzing. Construction management professional. Cartoonist and nocturnal.
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2022-05-14
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Rory Hooper
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TU Delft
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The Netherlands
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I am an Engineering and Policy Analysis MSc student at TU Delft. I am currently finishing my thesis which uses a deep learning NLP method to derive and aggregate causal relations from policy analysis literature into a causal map of policy performance.
I have developed and applied this method to a collection of 28 ex-post analysis papers on the subject of emissions trading.
I am currently looking for opportunities for after I graduate, in the energy transition field.
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2022-05-14
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John Musau
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Machakos University
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Machakos, Kenya
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Dr. John Musau holds Ph.D. in Environmental Science from Bangor University, UK, 2021, a MSc. in Environmental Engineering and Management from Jomo Kenyatta University of Agriculture & Technology, Kenya, 2015, and Bachelor of Environmental Planning and Management from Kenyatta University, 2011. Dr Musau has published research articles in high-impact factor journals. His research interests include environmental system modelling, artificial intelligence, geographic information systems, remote sensing, and sustainable water resource management. He is a Lecturer at the Department of Environmental Sciences in Machakos University, Kenya.
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2022-05-11
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Isaac Kofi Nti
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University of Energy and Natural Resources
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Sunyani, Ghana
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Dr. I. K. Nti holds PhD in Computer Science, MSc. in Information Technology, BSc. in Computer Science and HND in Electrical & Electronic Engineering. Dr Nti is a Lecturer at the Department of Computer Science and Informatics, the University of Energy and Natural Resources (UENR), Sunyani, Ghana. His research interests include artificial intelligence, energy system modelling, intelligent information systems and social, health informatics, energy informatics and sustainable computing, business analytics and data privacy and security.
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2022-05-11
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Al Karaki
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Africa
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Large scale innovator and entrepreneur providing insight, innovation and implementation services for projects that impact positive benefits towards people's lives
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2022-05-06
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Ronald Tombe
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Kisii University
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Kenya
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Dr. Ronald Tombe holds a Ph.D. in Computer Science from the University of KwaZulu-Natal, South Africa, 2021, an MSc. in Software Engineering in 2015, and a BSc. in Information and Technology in 2009, both from Jomo Kenyatta University of Agriculture & Technology, Kenya. Dr. Ronald has published research articles in high-impact factor journals and international conferences. His research interests are artificial intelligence, computer vision, machine learning, and human-centered interaction in respect of providing solutions in the agricultural sector that improve extension service delivery for indigenous communities. Dr. Ronald is a journal reviewer for Transactions on Geoscience and Remote Sensing (IEEE), Geoscience and Remote Sensing Letters (IEEE), Canadian Journal of Remote Sensing, and International Journal of Computer Vision (IGI-Global). He is also a Lecturer at Kisii University, a Research Fellow at FAR-LeaF, university of Pretoria, and the Program Coordinator for Africa Institute of Indigenous Knowledge System (AIIKS) Node at Kisii University.
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2022-05-05
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Antonio Paulo Inguane
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Data4Moz
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Mozambique
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International Development Specialist, co-founder of Data4Moz, a data driven analytical platform for decision making on natural resources management sector in Mozambique. I have experience in policy development and implementation across various sectors, including natural resources management, land tenure and property rights, as well as environment. With a background in both public, private, and multi-national organizations, my work experience goes across multiple countries: Mozambique, United States, Zimbabwe, Angola, Madagascar, Australia, South Africa, Zambia, The Gambia, Malawi, Cameroon and Brazil. I am Portuguese speaker and have background in Spanish.
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2022-05-02
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Romuald P. SAWADOGO
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Centre de Production; de Formation et d'Echanges Techniques (CEPROFET)
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Burkina Faso
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Spécialiste du développement local et travaillant actuellement sur les questions de Climat-Environnement-Communautés dépendantes des forêts, je souhaite faire des relations avec des personnes plus expérimentées ou des structures partenaires en relation avec le sujet ci-dessus évoqué.
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2022-04-30
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Emmanuel Chukwuma
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Nnamdi Azikiwe University
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Awka
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2022-04-30
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Ismael Ocen
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Ocean One Social Research Centre
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Uganda
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Experienced Programs Manager and Researcher with lots of experience in conducting Social Research and implementing projects in thematic areas of Human Rights, Education, Health, Climate Change and Livelihood. I am also an expert in Indigenous and Local Knowledge systems with an excellent reputation for resolving problems, improving community social problems, and driving overall operational improvements and efficiency
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2022-04-30
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Humphrey agevi
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Masinde Muliro University of Science and Technology
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Kenya
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PhD in Environmental Biology with bias in Ecology, carbon stocks assessment and climate change mitigation
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2022-04-29
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Ejim-Eze Emmanuel
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National Centre for Tecnology Management
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Nigeria
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Emmanuel is a researcher, consultant, and member of governing boards in private/non=profit organizations wit great interest in sustainability, Eco-innovation, climate science research, adaptation and mitigation, and artificial science
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2022-04-29
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Olivia
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Life Initiative for Change
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Zambia
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Public health specialist
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2022-04-29
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Dr. Emmanuel Ande Ivorgba
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The Emmanuel Ivorgba Foundation
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Nigeria
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Dr. Emmanuel Ande Ivorgba is a success-driven Visionary, Administrator, Educator, Researcher, Grassroots Peacebuilder, Conflict Resolution Practitioner and Solutions Economist with years of experience driving dramatic results in the nonprofit sector, empowering young people with tools to heal them- selves, build bridges across their differences, and create the space for peace to flourish in West Africa. A stellar-human being whose personal example and real-life social models have far-reaching effects crossing international borders, influencing numerous communities and nations for good and whose work in conflict resolution and peacebuilding has directly impacted youth in Nigeria, strengthening their emotional, spiritual and social maturity and whose activities establish cross- cultural teams of at-risk young men and women focusing on skill building that helps them emerge from dysfunctional families and a drug influenced life on the streets:
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2022-04-29
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Denis Pastory Rubanga
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Tokyo University of Agriculture
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Tokyo-Japan
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An applied data scientist/Research scientist with 10+ years of experience. Taking lead in innovative data strategies with the technical multidisciplinary background to develop, and plan products/projects that have socially impacted thousands of people.
Seeing a positive impact on marginalized and struggling communities is one of my motives.
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2022-04-27
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Kamil Mroczek
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Elio Technologies
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Irvine, CA
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CTO/Cofounder @ Elio.earth. Startup junkie now turned his sights on helping with the climate crisis. 2x startup exits as early employee and founder. Computer Scientist focused on big data and ML.
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2022-04-27
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Paul Daniel
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OYO
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Copenhagen
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I'm a Data Scientist working in industry looking to transition into a field where my work can actually have some impact.
I would love to use my skills in Data Science & Machine Learning to contribute in some small way to progressing our struggle in fighting Climate Change.
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2022-03-12
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paolo nesi
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university of florence
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Firenze
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working on mobility and transport and impact on environmental data. prediction and estimation of NO2, NOX, CO2, etc., on the basis of traffic, etc.
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2022-03-12
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Mahrukh Niazi
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Graduate Student at University of Toronto
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2022-03-04
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Jorge Montalvo Arvizu
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University of Liège
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Liège, Belgium
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Energy engineer focusing on machine learning applications for power systems to help achieve a world powered 100% by clean energy and fight the climate change crisis.
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2022-03-03
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Karen Wang
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Imperial College London
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London
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Forbes U30, A do-er, starter, violinist, and data science researcher, recently working on carbon accounting
Data Science@ex-Microsoft, www.wids-shanghai.org/ TEDx@www.ted.com/tedx/events/40885
Synthetic Bio Startup@www.felesbio.com/ ClimateStartup@www.carbonbase.co
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2022-03-02
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Wassem Alward
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Schlumberger
|
Iraq
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2022-03-02
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Thomas Loughlin
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Engineers for a Sustainable World
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New Jersey
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Association/non-profit leader focusing on climate, sustainability and a regenerative economy.
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2022-02-28
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Redouane Lguensat
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IPSL / IRD / Sorbonne Univ.
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Paris
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IRD Research Engineer at IPSL climate modeling center
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2022-02-23
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Lee Wall
|
Florida State University
|
Tallahassee, FL
|
Hey! I recently graduated with my B.S. in Applied & Computational Mathematics from Florida State University, and am looking for opportunities of any kind at the intersection of math and environmental science. I'm interested in both mechanistic models of complex global systems (i.e. rooted in first principles considerations from math and physics) and the black-box models of AI and data science, especially to the extent that they can inform each other.
We're all just trying to find our way out of this mess, so don't hesitate to reach out, even if you just want to chat!
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2022-02-21
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Ademola Okerinde
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2022-02-20
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Caroline Prahl
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Inkonova
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Sverige
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2022-02-14
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Luis Blanche
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MSc
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France
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I work as a Lead Data Scientist in an startup that develops a AI Monitoring solution for industrial food and beverages processing lines. I am always looking for ways to invest my skills into the fight against CC
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2022-02-11
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Matteo Turchetta
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ETH Zurich
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CH-ZH
|
After completing my Ph.D. in safety-constrained reinforcement learning, I got passionate about the sustainability and reliability of modern food systems. In my research, I apply supervised learning techniques to model the complex GxExM (genetics, environment, management) interactions that determine the environmental and nutritional outputs of agricultural systems. Moreover, I use reinforcement learning and Bayesian optimization algorithms to make data-driven decisions to optimize the productivity while minimizing the impact of such systems.
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2022-02-10
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Asmerom Gilau
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Epsilon Innovation Group Inc
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Washington DC
|
Climate resilience data analytics, climate change risk, adaptation and mitigation, energy management, clean energy applications system design, and qualitative and quantitative data analysis for decision-making.
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2022-01-25
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Gargi Singh
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Texas A&M Transportation Institute
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TX
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2022-01-23
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Tony Liu
|
University of Toronto
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Toronto, Canada
|
Engineering student specializing in Artificial Intelligence interested in helping solve problems at the intersection of ML and climate change. I am looking for any opportunity to learn and contribute to any project related to sustainable buildings and cities, ecosystem protection, and clean energy.
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2022-01-19
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Pierre McWhannel
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SFU
|
Vancouver, BC, Canada
|
PhD student in Sustainable Energy Engineering, exploring the intersection of AI and energy systems modelling in an effort against climate change.
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2022-01-15
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James Doss-Gollin
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Rice University
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Houston
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Assistant professor of civil and environmental engineering at Rice University. My research focuses on probabilistic assessment of spatiotemporally clustered climate hazards, and on using these assessments to improve urban infrastructure systems.
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2022-01-12
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Ian Foster
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Argonne National Laboratory & University of Chicago
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Chicago
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Computer scientist who has worked on various aspects of climate models (e.g., parallel CCM), climate model data distribution (e.g., Earth System Grid), and applications of ML/AI methods to climate science.
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2022-01-11
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Tse Uweja
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University of Cambridge
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London, UK
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Engineering student with an interest in sustainability and sustainable development. Currently leading a team building an app to help people live more sustainably that combines data science, behavioural science and machine learning. Feel free to reach out to me if you're interested in any of those things. :)
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2022-01-05
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Jim Lee
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BuySellRam.com
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Orlando
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I am a computer hardware engineer. But now I am learning computer vision and machine learning, because I would like to do automatic product classification and inspection.
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2021-12-20
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Eirini Malliaraki
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Deep Science Ventures
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I'm head of founder community at Deep Science Ventures. Since 2014, I have developed new projects, products and programmes across academia, industrial research labs, national research centres and startups. Before DSV, I was the founder of the award-winning, VC backed education tech startup Filisia. More recently, I oversaw project development on AI for Climate Action at the Alan Turing Institute. I have also worked as a researcher at the Morphological Computation Lab at Imperial College, Microsoft Research, and Nesta. I hold a joint MA/MSc in Innovation Design Engineering from Imperial College London and the Royal College of Art.
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2021-12-16
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David Chen
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NY
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Ex-quant, now working in carbon emissions accounting.
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2021-12-15
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Bethany Lusch
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Argonne National Laboratory
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Lemont, IL
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machine learning + science + supercomputers
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2021-12-14
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Derek Rollend
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The Johns Hopkins University Applied Physics Laboratory
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Laurel, MD
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Machine Learning researcher interested in the application of AI/ML to satellite imagery and remote sensing data to help address the climate crisis.
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2021-12-14
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Gabriel
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Mines ParisTech - PSL University / RTE France
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Paris, France
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PhD candidate in remote sensing applied to the detection of distributed solar panels
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2021-12-14
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Thomas Y. Chen
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Academy for Mathematics, Science, and Engineering
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New Jersey
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Thomas Chen is a student and machine learning researcher from the Academy for Mathematics, Science, and Engineering (NYC metro area). He is primarily interested in applying ML and computer vision to real-world climate adaptation (e.g. deep learning-based computer vision for damage assessment post-natural disaster). He has been an invited speaker at conferences like the IEEE Conference on Technologies for Sustainability, American Geophysical Union Fall Meeting, and the Energy Anthropology Network. Thomas has also spoken at events like NeurIPS and CVPR workshops, Applied Machine Learning Days, the Open Data Science Conference, and Machine Learning Week Europe. He is a leading voice in the area of machine learning-driven earth observation (EO) applications. Thomas is a member of the U.S. Technology Policy Committee (Association for Computing Machinery) and the Research Data Alliance.
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2021-12-14
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Stephen Haddad
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Met Office
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Exeter, UK
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I am Scientific Software Engineer at the Met Office, interested in applying machine learning to weather and climate science in an efficient and robust way.
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2021-12-12
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David Dao
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ETH Zurich
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I'm a Ph.D. student at ETH Zurich building AI and Data Systems for Sustainable Development.
I'm leading the Climate + AI initiative at DS3Lab, mapping the ethical use of AI, and directing the Kara research project with Stanford and UC Berkeley. I'm also the founder of GainForest, a non-profit grantee of Microsoft’s AI for Earth program, which leverages decentralized technology to prevent deforestation. Previously, I was an engineer in Silicon Valley and a research fellow at Berkeley AI Research (BAIR), Stanford University and Broad Institute of MIT and Harvard. I'm a Global Shaper at World Economic Forum, a Core Member of Climate Change AI, a Climate Leader at Climate Reality Project and organized conferences with thousands of attendees in Germany, Silicon Valley, and at Harvard.
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2021-12-08
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Qiao Kang
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Memorial University of Newfoundland
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Newfoundland, Canada
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A soon graduating Ph.D. student in environmental engineering. Recent research focuses on interpretable machine learning and causal inference applications in various macro-micro environmental topics such as environmental health and climate change, as well as the fate and transport of contaminants.
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2021-12-07
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Frederik vom Scheidt
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Karlsruhe Institute of Technology
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Germany
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I believe that novel AI applications are a powerful tool for creating a more sustainable energy system.
Therefore, in my PhD research at KIT, Germany, I develop new forecasting applications + economic mechanisms to efficiently integrate decentralized technologies into the energy system.
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2021-12-07
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Sivaranjani Seetharaman
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I am a postdoc in the Department of Electrical and Computer Engineering at Texas A&M University, and an incoming Assistant Professor at the School of Industrial Engineering, Purdue University, starting March ’22.
My research interests lie at the intersection of control theory and machine learning for distributed decision making in large-scale cyber-physical-human systems, with applications to transportation networks, power grids, and interdependent infrastructures.
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2021-11-29
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Andre L. Belem
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Universidade Federal Fluminense
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Niteroi, RJ BRAZIL
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I am currently a professor of Physical Oceanography and Earth Sciences at the Fluminense Federal University in Rio de Janeiro, and I continue my research on paleoceanography, climate change and ocean-atmosphere dynamics, specializing in time series analysis techniques and the role of ocean and cryosphere through the orbital and geological scales.
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2021-11-29
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PARTHA PRATIM SAHA
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Birla Institute of Technology and Science, Pilani, (BITS Pilani) India
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West Bengal
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I have 8 years of industrial work experience. I am working in advanced machine learning, neural network, NLP & Deep Learning projects. I have good knowledge on Convolutional Neural Networks, Recurrent Neural network, Text analytics, Information Retrieval, Natural Language Processing, Scientific Spacy, Gensim, Named Entity Recognition, architecting Gene Regulatory Network Architecture designing for identifying candidate driver genes for cancer for Multiple Myeloma from MMRF, and currently developing a search engine to develop established AI products in the Healthcare. I have used Python extensively in my work. I got an award of full free registration to attend the conference and workshop track in ICML 2021, attended the Google Developer’s program, serving as a reviewer of a journal on AI & Deep Learning, attended the RegML summer program, Italy, and presented Attention is all you need paper to Portland State University, USA. I have contributed to real-world projects from multiple domain horizons & could transfer these skills in my work.
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2021-11-29
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Luiza Barguil
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XPrize Foundation
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SP
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As an AI researcher for a couple of decades, I am now conceiving a Green Data Co-Op for both the Biodiversity and Climate ecosystems in Brazil
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2021-11-22
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Yan Xia
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Zhejiang Univerisity
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2021-11-22
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Christian Igel
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University of Copenhagen
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Denmark
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Professor at DIKU, the Department of Computer Science at the University of Copenhagen.
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2021-11-19
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Jean Paul Maalouf
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Freelance
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Bordeaux, France
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I am a freelance data science consultant, with a particular focus on education and communication. I defended a PhD in ecology in 2012. I studied the effect of extreme climate droughts on biodiversity. And I’ve been working in data since then. Throughout my career, I’ve had the opportunity to collaborate with members of multiple sectors and research institutes. I constantly draw inspiration from reading, art and meeting people.
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2021-11-17
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Elizabeth Bondi
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Harvard University
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Cambridge, MA, USA
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I am a PhD candidate in Computer Science at Harvard University advised by Prof. Milind Tambe. My research interests lie broadly in the area of artificial intelligence (AI) for social impact, particularly spanning the fields of multi-agent systems and data science for conservation and public health. I also founded Try AI, a 501(c)(3) nonprofit committed to increasing diversity, equity, inclusion, and belonging in AI. We design and host educational programs that seek to build community and explore the potential application of AI in society.
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2021-11-17
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Oliver Zielinski
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German Research Center for Artificial Intelligence (DFKI)
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Germany
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Oliver Zielinski has been Professor of Marine Sensor Systems at the Institute for Chemistry and Biology of the Marine Environment (ICBM) at University Oldenburg since 2011. Since 2019, Zielinski is head of the research department “Marine Perception” at the German Research Center for Artificial Intelligence (DFKI) and since 2020, he leads the Competence Center “Artificial Intelligence for Environment and Sustainability”. Completing his PhD in physics at University Oldenburg in 1999, Zielinski became CEO of an international sensor systems supplier before being appointed professor at Bremerhaven University of Applied Sciences in 2005. Zielinski's research area covers environmental physics of aquatic ecosystems, utilizing intelligent technologies, especially in the field of autonomous sensor systems and marine observatories.
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2021-11-11
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Mark Codling
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The University of the West Indies - St. Augustine
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Country other than US or CA
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PhD GeoInformatic/GeoAI Candidate at the University of the West Indies St. Augustine with comprehensive knowledge in the technical and administrative operations of Government at the senior management and technical level. Gained significant expertise in implementing sustainable development projects across several public and private sector organizations in Jamaica, New Zealand, and the Caribbean, specifically in the areas of disaster risk management & electric utility, road-based transportation, land management and environment.
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2021-11-11
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Siman Ning
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Washington
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I am a phd student in urban design and planning. I am interested in how AI and climate change could reshape future urban development.
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2021-11-09
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Jianwu Wang
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University of Maryland, Baltimore County
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Baltimore, Maryland, United States
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Dr. Jianwu Wang is an Associate Professor at the Department of Information Systems, University of Maryland, Baltimore County (UMBC). He is also an affiliated faculty at the Joint Center for Earth Systems Technology (JCET), UMBC. He has published 110+ papers with more than 2100 citations (h-index: 22). He is/was associate editor or editorial board member of four international journals, conference organization committee member of eight conferences and co-chair of eight related workshops. He is also program committee member for over 40 conferences/workshops, and reviewer of over 15 journals or books. He is also an NSF CAREER awardee. His current research interests include Big Data Analytics, Distributed Computing and Scientific Workflow with application focuses on climate.
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2021-11-08
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Vincent Mai
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Mila - Université de Montréal
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Montreal
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2021-11-08
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Shankar Vaidhyanathan
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Environmental Resources Management/ Colorado School of Mines
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Austin
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Air Quality Engineer. Passionate about Carbon Accounting, Carbon Capture (geological and non geological), Methane, Low Carbon Energy Transition.
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2021-11-08
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Luc Wuytens
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Belgium, Leuven
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Hi all, my 20+ yrs career is mainly about supply chain planning. However in recent years I became quite interested in AI and Big Data as well. As a result, I graduated summa cum laude last year, in 2020, for a postgraduate in big data and analytics with a dissertation in the context of deep learning and circular economy. Today I am working on the intersection of supply chain planning and AI, as director delivery for www.lop.ai. There is perhaps no direct link to climate change in my job, but I like to think that there are many indirect links. In my private time, I am aiming to become more 'engaged' towards climate change and I would like to contribute and use my skill set in this area as well.
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2021-11-08
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Art Prateepvanich
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Paraclimate
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Oakland, CA
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Advisor/Angel Investor focussed on new product opportunities in analytics, data and energy. Experienced in commercializing B2B data/AI/analytics products. Can advise on market discovery and sizing, pitches, B2B sales, data pipelines, commercializing machine learning, measurement and marketplace products, communications and marketing strategy.
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2021-11-03
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Luis Bernardo Chicaiza
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Bogotá, Colombia
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2021-11-03
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Jairo Torregrosa
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Colombia
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I'm a data scientist interested in working on Climate Change.
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2021-11-02
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Maria João Sousa
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IST, ULisboa
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Lisbon, Portugal
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2021-10-28
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Victor Raul Stanilao Reyna Garcia
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Universidad Catolica San Pablo
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Lima
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2021-10-25
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Mehdi Noori
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Amazon ML Solutions Lab (Lead of Energy Vertical, Manager, and Senior Data Scientist)
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New York City
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Mehdi is a manager and a senior data scientist at Amazon ML Solutions Lab (MLSL). He helps identify and build ML solutions to address large organizations’ highest return-on-investment ML opportunities using AWS infrastructure. He also leads the Energy vertical in their organization. In the past, Mehdi has worked as a researcher and advocate for Climate Change, Sustainability, and Resilience. At MIT, Mehdi worked as a postdoctoral researcher at CSHub on topics related to resilience, sustainable transportation, and energy systems. He holds a PhD in Engineering from the University of Central Florida and studied EVs, Smart Cities, and Vehicle to Grid applications. Mehdi also worked at a utility company on emerging technologies in energy efficiency, green buildings, and net zero energy buildings where he held LEED AP and CEM certifications.
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2021-10-25
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Arunkumar L
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Pegara Inc
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India
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2021-10-19
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Xikun Hu
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KTH Royal Institute of Technology
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Sweden
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Ph.D. student working on supervised learning for satellite images, especially on semantic segmentation. Research interest includes active fire detection, burned area detection, and burn severity assessment.
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2021-10-19
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Hyunggyu Lim
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Princeton University / NOAA-GFDL
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NJ, US
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Marine BGC-climate interaction, Postdoc
Princeton-AOS / NOAA-GFDL, PhD in Climate Dynamics, MS in Environmental Marince science / he,his, S. Korean
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2021-10-19
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Quoc Viet Nguyen
|
Polytechnique
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Palaiseau, Paris
|
Hello,
I'm a third-year student in Engineering Program at Polytechnique. My major is Applied Mathematics and I'm particularly interested in climate change and global warming and want to apply what I learn in that matter.
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2021-10-19
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Yu Zhou
|
Northern Arizona University
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2021-10-19
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Ofir Levy
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School of Zoology, Faculty of Life Sciences, Tel Aviv University
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Tel Aviv, Israel
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2021-10-19
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Jan Dutton
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Prescient Weather Ltd
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Charlottesville, VA
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2021-10-19
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Shalabh Vidyarthi
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Amazon
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Seattle
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2021-10-07
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Ramij Raja Hossain
|
Iowa State University
|
Ames, Iowa
|
I am a Ph.D. student and Research Assistant in the Department of Electrical and Computer Engineering at Iowa State University, USA. My current research is focused on data-driven MPC, distributed control, game theory, and reinforcement learning-based approaches in power systems.
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2021-10-06
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Lijun Sun
|
McGill University
|
Montreal, QC, Canada
|
I am an Assistant Professor in the Department of Civil Engineering at McGill University. My current research centers on the area of smart transportation and urban computing, developing innovative methodologies and applications to address efficiency, resilience, and sustainability issues in urban transportation systems. I am particularly interested in integrating advances in machine learning into human mobility modeling, agent-based simulation, and intelligent transportation systems.
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2021-09-29
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Andreas
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CYENS CoE
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Nicosia, Cyprus
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Team leader at the Pervasive Real-World Computing for Sustainability (SuPerWorld) Multidisciplinary Research Group (MRG) of the newly established CYENS Center of Excellence in Nicosia, Cyprus. In parallel, I am an Assistant Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) of the University of Twente, Netherlands, lecturing at the Creative Technologies BSc programme as well as the Computer Science MSc programme of the university.
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2021-09-27
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Ashwin Shirsat
|
North Carolina State University
|
NC
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I am an electrical engineering Ph.D. student with the FREEDM systems center at North Carolina State University. My research focuses on data-driven optimal decision-making for energy management of grids with high renewable energy penetration and using deep learning for quantifying demand response potential and energy disaggregation.
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2021-09-23
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Galen Vincent
|
Carnegie Mellon University
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Pittsburgh, PA
|
I'm a PhD student in the Statistics and Data Science department at Carnegie Mellon University. My research is focused on developing statistically rigorous and scientifically interpretable methods for analyzing environmental data.
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2021-09-22
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Andrea
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Stevens Institute of Technology
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Mexico City
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2021-09-21
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Sebastian Romero
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Tracks GmbH
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Berlin
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Technical product manager, tree-hugger, data scientist, in love with mama earth
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2021-09-21
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Ish Girwan
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UK
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2021-09-21
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Martin Röck
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KU Leuven
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Cologne, Germany
|
I'm a built environment researcher focused on environmental modelling of buildings and building stocks using life cycle-based assessment methods. I have been working on a joint effort to compile data on life cycle emissions of buildings and would be glad to find partners in this community for exploring it further!
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2021-09-21
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Dickson Lukose
|
Monash University
|
Melbourne
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I have over 25 years of experience in Applied AI working with technologies like Machine Learning, Deep Learning, Semantic Web, Knowledge Graphs, Social Network Analytics, and Natural Language Processing.
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2021-09-21
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Yamine Bouzembrak
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WFSR
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NL
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AI in food safety
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2021-09-21
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Zikri Bayraktar
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Schlumberger
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Cambridge, MA
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I am a senior AI research scientist, currently focusing on carbon capture tech.
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2021-09-21
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Hillary Scannell
|
Columbia University
|
New York, NY
|
Postdoctoral Research Scientist in the Climate Data Science Lab at the Lamont-Doherty Earth Observatory
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2021-09-21
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Sophie Purdom
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Climate Tech VC
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NY
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I’m a sustainable business practitioner; first from the perspective of state & global policy, then at a major endowment, followed by a few years decking at Bain & Co., published a book along the way, and founded an agtech venture (raised +$15m). I now write a climate tech newsletter (15,000+ readers) and invest in early stage companies.
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2021-09-21
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Paul Christopher Ulrich
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Consultant
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New Haven, CT
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I have worked on issues related to climate change in Asia Pacific for NGOs and the GSMA, the trade organization representing global mobile operators. I have also done policy work on AI for the GSMA. I am an economist by training with degrees from Stanford and Harvard.
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2021-09-13
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Sara El Mekkaoui
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Ecole Mohammadia d'Ingénieurs, Mohammed V University in Rabat
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Rabat, Morocco
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PhD student in Machine Learning for Maritime Logistics, interested in Blue Shipping.
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2021-09-13
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Abhishek Bhan
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Apple, Columbia University
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San Fransisco Bay Area
|
I am currently working as a SWE at Apple, having just finished grad school at Columbia University.
In my free time, I like to read, climb and play basketball and badminton.
I have been trying to be environmentally conscious for a number of years now and have taken small steps to change my lifestyle over the years to make it more carbon neutral. There's lots more to do though and I believe the intersecion of AI and climate change is a domain that has a lot of (untapped) potential! I look forward to getting to know all of you and hopefully collaborating in the future to help realize that potential.
Cheers!
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2021-09-09
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Shanti
|
UMich
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MI
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Interested in creating solutions for Energy Poverty and efficiency using AI. At present working in Data Science internships with NOAA (weather prediction using ML) and an AI startup. Pursued Masters in Geospatial Data science at UMich. In the past, worked in India in sectors of Renewable Energy (with SELCO Foundation) , Education ( with Teach For India and SINE, IIT Bombay) .
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2021-09-09
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Zane Selvans
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Catalyst Cooperative
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Guanajuato, Mexico
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I wrangle US open energy system data for researchers, activists, policymakers, and journalists working on climate & energy policy.
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2021-09-03
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Olga Mierzwa-Sulima
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Data Scientist and Data4Good Lead at Appsilon. Supporting organizations and researchers tackling climate change by offering our service (data science, dashboards, and ML Vision) pro-bono.
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2021-09-03
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Neha Puri
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Faculty AI
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London, UK
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Green finance specialist, with over a decade of experience in low-carbon infrastructure / technologies in Europe, South Asia and Americas. Currently Commercial Principal at Faculty AI.
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2021-09-03
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Michael Orimogunje
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University of Huddersfield
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United Kingdom
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2021-09-03
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Alan Cordova
|
Fluence Energy
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San Francisco, CA
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2021-09-03
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Brian Kent
|
The Crosstab Kite
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|
Data scientist and ML engineer, currently focused on translating digital experimentation lessons to real-world applications in climate R&D. Please reach out and say hi!
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2021-09-02
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Andy Chen
|
Afresh Technologies, Stanford Food Design
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ML Engineering at Afresh Technologies (reducing fresh food waste at the grocery level!) |||
Stanford Math + Computer Science |||
Stanford Food Recovery
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2021-09-01
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Lynn Kaack
|
Hertie School
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|
I'm an Assistant Professor at the Hertie School in Berlin, and also one of the three co-founders and chairs of CCAI. I work in the field of public policy, with a focus on climate change mitigation and ML.
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2021-08-27
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Olivier Asselin
|
Ouranos, Montreal (CA)
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|
I studied the fluid dynamics of the atmosphere and oceans in academia for about 10 years. Last year, I left academia to join Ouranos, a Montreal-based NGO advising the Quebec government and other actors on climate adaptation. My current work focuses on the climate effects of forests.
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2021-08-27
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Csaba Bán
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Bosch, ADAS Software Engineer
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I'm a graduate physicsist who works in the automotive industry as a software engineer for advanced driver assictance systems. One of my hobbies is deep learning.
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2021-08-25
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Kasia Tokarska
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ETH Zurich (former postdoc)
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|
I am a climate scientist exploring carbon-climate interactions and how they change under anthropogenic influence. I am also interested in providing more robust projections of the Earth's future climate, using climate models and a variety of data analysis tools.
I am also very interested in interpretable and physically-informed machine learning applications to climate data analysis, and different ways to quantify the uncertainty.
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2021-08-23
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Tushar Gupta
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I help Financial Institutions and Corporates manage their climate risk and align it with their decarbonisation strategy
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2021-08-20
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Kalyan Nadimpalli
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International Institute of Information Technology, Bangalore
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I'm an Integrated Masters student in CS, particularly interested in AI and am passionate about helping in the struggle towards stopping climate change.
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2021-08-18
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Asmaa
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Vodafone
|
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AI Solution Architect
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2021-08-18
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Jakob Heller
|
deeeper.technology GmbH
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|
Machine Learning professional with a strong interest in remote sensing.
Executive to a company that tracks land cover change with remote sensing down to submeter resolution.
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2021-08-18
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Peter Dolan
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Waymo
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I'm a research engineer with broad interests, formerly at DeepMind working on climate change projects including wind power and energy efficiency.
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2021-08-13
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Kiana Alikhademi
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PhD student at the University of Florida
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2021-08-13
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Rama Ramakrishnan
|
MIT
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2021-08-12
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Marcus Voss
|
TU Berlin, Birds on Mars
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At the Distributed Artificial Intelligence Laboratory (DAI-Lab), I have coordinated and worked on several research projects investigating how digitization and AI can support the energy transition. Within those projects, I have been modeling, forecasting, and optimizing different demand-side processes such as electric vehicles, smart building- and smart home loads, and renewable generation. I have coordinated the research group Smart Energy Systems, where I was responsible for aligning the DAI research for solutions for the energy system. I have co-supervised several Seminar, Bachelor and Master theses and project-based courses, mostly in applied machine learning for energy data, hoping to inspire more students to work in the field.
In my doctoral research at TU Berlin, I work on analyzing low voltage-level smart meter data using non-Euclidean distance measures and neural networks with applications in load forecasting and load profile clustering.
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2021-08-10
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Nandakumar Krishnaswamy
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2021-08-10
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Carl Boettiger
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UC Berkeley
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Assistant professor in Environmental Science, Policy, and Management at UC Berkeley. Interested in ecological systems, natural resource management, and possible applications of Deep Reinforcement Learning to conservation and management. Also interested in issues of ethics and power arising from algorithmic approaches to conservation.
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2021-08-09
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Anson Ho
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University of St Andrews
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I'm a recent physics graduate at the University of St Andrews, interested in the relationship between AI, scientific research and effective altruism. This means trying to use AI to further scientific understanding (e.g. through interpretable ML) and technologies, while also keeping the ethical and safety issues of AI a priority. Within climate change, I'm interested in improving long-term forecasts, especially regarding extreme climate events.
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2021-08-09
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Negin Katal
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Max Planck Institute for Biogeochemistry
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currently, I'm a Ph.D. student at MPI for Biogeochemistry in Jena. I'm researching applying ML for phenological modeling using citizen science.
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2021-08-07
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Tom Corringham
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Scripps Institution of Oceanography, University of California San Diego
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Staff Research Economist at Scripps Institution of Oceanography's Department of Climate and Atmospheric Sciences. My research focuses on quantifying the costs of extreme weather events related to climate change to inform interventions that protect vulnerable populations.
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2021-08-05
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Allison Campbell
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Pacific Northwest National Laboratory
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I'm a staff scientist in the Electricity, Infrastructure, and Buildings Division at PNNL. I'm also working towards a PhD in Bayesian estimation of net load at UNC Charlotte.
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2021-08-05
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Pranav Bhosale
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BITS Pilani
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Starting out as a software developer. Interested in tech for social good.
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2021-08-05
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Jack Lynch
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NC State University / Masterful AI
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I'm an undergraduate and machine learning engineer interested in the application of domain adaptation and unsupervised learning to geospatial machine learning.
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2021-08-05
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Thomas Walther
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Utrecht University
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Assistant Professor of Finance with research on financial econometrics; climate/energy/commodity finance
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2021-08-05
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Miguel-Ángel Fernández-Torres
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Image and Signal Processing (ISP) Group, Image Processing Laboratory (IPL), Universitat de València, Spain
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I work at present as a postdoctoral researcher in the ERC USMILE project, taking part in the Image and Signal Processing Group at the Universitat de València, Spain. My current research within the area of Machine Learning for Earth and Climate Sciences involves the design and understanding of explainable deep generative models and machine attention mechanisms to be deployed for anomaly and extreme event detection.
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2021-08-05
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Geneviève Patterson
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Visual Supply Company (VSCO)
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I'm the Head of Applied Research @ VSCO and I'm co-developing the CCAI Course for Summer School 2022. Before joining VSCO, I was CTO of the TRASH app. Before that I was a Postdoctoral Researcher at Microsoft Research New England. My work is about creating dialog between AI and people. My interests include video understanding, visual attribute discovery, human-in-the-loop systems, fine-grained object recognition, AI for climate science, and active learning. I received my PhD from Brown University in 2016 under the direction of James Hays.
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2021-08-03
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Santonu Goswami
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Indian Space Research Organization
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I am senior scientist with the National Remote Sensing Centre - ISRO and based in Hyderabad, India. My work is in understanding the various ecosystem processes such as coastal ecosystem dynamics, permafrost landscape dynamics using a data-driven approach using traditional remote sensing methods as well as leveraging the power of Artificial Intelligence in finding newer insights. I am open for collaborations and discuss about exciting ideas of mutual interests.
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2021-08-03
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James Crowley
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Experienced CTO/founder in the SaaS fintech world, now working with start-ups and NGOs focused on climate
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2021-08-03
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Duncan Watson-Parris
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University of Oxford
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2021-08-01
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Cengiz Avcı
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Istanbul Technical University
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BSc Geomatics Engineering student at Istanbul Technical University
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2021-08-01
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Avni Kothari
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UC San Diego
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I'm a masters student at UC San Diego. I just at the beginning on my journey to work in the space of AI and Climate Change. I've formally studied math and economics and worked as a software engineer for 6 year.
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2021-07-30
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Heather Couture
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Pixel Scientia Labs
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Fighting cancer & climate change with AI.
Distilling the latest research to help R&D teams implement better models and create an impact.
CV/ML/DL Consultant
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2021-07-30
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Christoph Klemenjak
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University of Klagenfurt
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Hello, my name is Christoph.
I have spent the past four years working as a research and teaching assistant at the University of Klagenfurt. My research has mainly been related to applying Machine Learning approaches to Energy Disaggregation, also known as Non-Intrusive Load Monitoring.
During this time, I demonstrated my ability to meet high expectations, maintain strong attention to detail, and deliver results on time. Besides research, I was given the chance to share knowledge with students in the form of mentoring.
How would I describe myself?
Nothing excites me more than a good book.
I believe in life-long learning.
I am a team player.
I am curious.
Coffee.
You are most welcome to contact me. I am currently looking for new job opportunities that not only get me excited but also bear the chance to make an impact.
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2021-07-30
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Pia Faustino
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Thinking Machines Data Science
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I am the Director for Sustainability at Thinking Machines, where I lead the company's mission to use technology for social and environmental good. We work with government and nonprofit partners to address challenges in public health, humanitarian response, and sustainable development using data science.
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2021-07-28
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Anya Schukin
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I’m a Paris-based ML software engineer, originally from San Francisco. Masters in CS / AI from École 42 Paris, with experience in technical product R&D, project management, and in a past life I founded and scaled a digital travel + culture publication. I want to use my skills to affect environmental change at 10x scale. If you have any career opportunities that touch on tech x product x data x environment, shoot me a message!
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2021-07-27
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Jose Cordova-Garcia
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ESPOL University
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I am an Assistant Professor at ESPOL University in Guayaquil, Ecuador. I received my PhD from Stony Brook University where I worked on data-driven monitoring and control of failures in power grids. My research focuses in optimization and machine learning applications in Smart Grids and data networks. At ESPOL I lead a campus-wide initiative towards generating user-centered automated recommendations for energy efficiency.
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2021-07-26
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Simone Nsutezo Fobi
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Columbia University
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I am a PhD student, in Mechanical Engineering at Columbia University. My research focuses on Electricity Demand Analytics & Prediction and Energy System Design . Specifically, my work combines large amounts of electricity consumption data (obtained from electric meters) with remote sensed satellite imagery, to infer electricity demand from satellite imagery.
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2021-07-26
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Tegan Maharaj
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University of Toronto
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I'm an Assistant Professor at the University of Toronto, and did my PhD at Mila. Research primarily in deep representation learning & predictive methods in ecological modeling and environmental risk assessment, as well as real-world generalization, learning theory, and practical auditing tools (e.g. unit tests, sandboxes). Co-founder of CCAI, current Peer Review and Publications Lead.
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2021-07-26
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Jan Drgona
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Pacific Northwest National Laboratory
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I am a data scientist in the Physics and Computational Sciences Division (PCSD) at Pacific Northwest National Laboratory. My current research interests fall in the intersection of model-based optimal control, constrained optimization, and machine learning facilitated by differentiable programming.
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2021-07-26
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Rendani Mbuvha
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University of Witwatersrand
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I am a lecturer in the School of Statistics and Actuarial Science at the University of the Witwatersrand. I completed a PhD in Artificial Intelligence at the University of Johannesburg focusing on probabilistic Machine Learning, an MSc in Computer Science and Engineering from KTH, Royal Institute of Technology in Sweden and a BSc Honours in Actuarial Science at the University of Cape Town.
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2021-07-26
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Sebastian Gerard
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KTH Stockholm
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PhD student working on self-supervised learning for satellite images. Planning to work on wildfire predictions.
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2021-07-25
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Nishan Srishankar
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I graduated with a Masters degree in Robotics engineering at WPI and have worked on decision-making for adversarial Multi-robot swarm systems (thesis), self-supervised learning of satellite images (NASA-SETI institute), explainable AI using graphs for multi-agent systems (Honda Research Institute), autonomous driving, and action recognition using smartphone sensors in the wild (DARPA).
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2021-07-25
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Vivek Ramavajjala
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DeepMind
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I'm a Research Engineering Lead at DeepMind, working on applied research projects, and deploying ML in the real world.
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2021-07-24
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Thomas Soumarmon
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Continental / DEEL.ai
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Data Scientist willing to use my skills to tackle climate change.
Currently on sabbatical year to find the best way to do it.
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2021-07-24
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Ramit Debnath
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University of Cambridge
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Ramit Debnath is a computational social scientist. His research focuses on energy and climate justice in the built environment using tools from data science. He uses machine learning and AI to inform sustainability and policy decisions for climate repair. He is currently a Laudes Foundation Research Associate and a Gates-Cambridge Scholar at the Centre for Natural Material Innovation and Energy Policy Research Group at the University of Cambridge. Ramit is a visiting researcher at the International Energy Agency (IEA)’s Energy Efficiency Division, working on the social dimension of digitalisation. He has a background in electrical engineering and a PhD in Energy Policy from Cambridge.
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2021-07-23
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Aditya L. Ramadona
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Department of Health Behaviour, Environment, and Social Medicine - Universitas Gadjah Mada
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2021-07-23
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Levente Klein
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IBM Research
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I'm a research scientist at IBM Research working at the intersection of big data, geospatial intelligence and machine learning.
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2021-07-23
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Jacob Bieker
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Open Climate Fix
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Machine Learning Researcher focusing on using multi-modal data to predict solar power output. Previously at NASA, Google, and Scale AI doing ML for geospatial, commerical, and self-driving vehicle projects. Masters in Astrophyiscs, previous research on applying ML to large-scale sky surveys, nanosecond astronomical phenomena, and other physics problems.
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2021-07-23
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Patrick Emami
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University of Florida
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I'm a PhD candidate at the University of Florida researching multi-object representation learning, reinforcement learning, and energy-efficient traffic intersection control.
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2021-07-23
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Alex Kell
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Imperial College London
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Alex is a Research Associate who specialises in long term energy scenarios. Alex has expertise in agent based modelling and machine learning applied to energy markets around the world.
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2021-07-23
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Florin Gogianu
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Bitdefender
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I am a PhD student at the Technical University of Cluj-Napoca and researcher at Bitdefender working on Deep Reinforcement Learning.
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2021-07-23
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Nathan Lambert
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UC Berkeley
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Nathan Lambert is a PhD Candidate at the University of California, Berkeley working at the intersection of machine learning and robotics. He is a member of the Department of Electrical Engineering and Computer Sciences, advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab. Nathan has worked extensively with Roberto Calandra at Facebook AI Research and is joining DeepMind Robotics remotely for the summer of 2021. During his Ph.D., he was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism.
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2021-07-23
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Santosh Sharma
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University of Central Florida
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I am a PhD student at UCF. I am interested in applying mathematical optimization (decentralized and distributed algorithms) in multi-energy systems.
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2021-07-23
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Sasha Luccioni
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Mila + Université de Montréal
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I am currently a Postdoctoral Researcher at the Mila Institute supervised by Yoshua Bengio, and a Computational Social Scientist at the UN Global Pulse.
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2021-07-23
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Merce Casas-Prat
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Environment and Climate Change Canada
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I am a research scientist studying marine climate extremes, with focus on ocean waves, and their impacts on coastal communities and offshore activities.
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2021-07-23
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Julian de Hoog
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University of Melbourne
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Research scientist with research background in both academia and industry (IBM Research), across electrified transport, solar power forecasting, optimal energy storage operation, and more recently deep learning.
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2021-07-23
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Konstantin Klemmer
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University of Warwick, NYU
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PhD student in geospatial machine learning, core team member at CCAI
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2021-07-22
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Hari Prasanna Das
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UC Berkeley
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PhD Candidate at UC Berkeley working on Deep Generative Modeling and its applications in Smart Buildings.
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2021-07-22
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David Rolnick
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McGill University & Mila Quebec AI Institute
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I'm an Assistant Professor in Computer Science and Canada CIFAR AI Chair at McGill University and Mila - Quebec AI Institute, a co-founder and Chair of CCAI, and Scientific Co-Director of Sustainability in the Digital Age. My group works on machine learning innovations driven by problems relevant to climate change and biodiversity, as well as mathematical understanding of deep learning algorithms.
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2021-07-22
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Priya Donti
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Carnegie Mellon University
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I'm a Ph.D. student in Computer Science & Public Policy at Carnegie Mellon University, and co-founder and chair of Climate Change AI. My work focuses on machine learning for forecasting, optimization, and control in high-renewables power grids, with a specific focus on incorporating relevant physics and hard constraints into deep learning models.
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2021-07-09
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Felipe Oviedo
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ML research at MSFT AI for Good
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2021-07-09
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Evan David Sherwin
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Stanford University, Energy Resources Engineering
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Founding member of CCAI, Chair of Programs Committee. Studying decarbonizing hydrocarbons, particularly #methane.
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2021-07-09
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Peetak Mitra
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Palo Alto Research Center
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Scientist at Palo Alto Research Center working at the intersection of machine learning and computational physics.
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