Javed Ahmed is a Senior Data Scientist with Metis, where he focuses on corporate training programs in Machine Learning and analytics. A financial economist by background, he has extensive experience developing analytic applications for large organizations including Amazon and the Federal Reserve Board of Governors. Javed holds a PhD in Finance and MA in Statistics from U.C. Berkeley, as well as undergraduate degrees in Finance and Systems Engineering from the University of Pennsylvania.

Robert is a Senior Data Scientist at SAS where he builds end-to-end artificial intelligence applications.  He also researches, consults, and teaches machine learning with an emphasis on deep learning and computer vision for SAS. Robert has authored a book on computer vision and has developed several professional courses on topics including neural networks, deep learning, and optimization modeling. Before joining SAS, Robert worked under the Senior Vice Provost at North Carolina State University, where he built models pertaining to student success, faculty development, and resource management. Robert also started a private analytics company while working at North Carolina State University that focused on predicting future home sales. Prior to working in academia, Robert was a member of the research and development group on the Workforce Optimization team at Travelers Insurance. His models at Travelers focused on forecasting and optimizing resources. Robert graduated with a master’s degree in Business Analytics and Project Management from the University of Connecticut and a master’s degree in Applied and Resource Economics from East Carolina University.

Dr. Lea Boche is the Technical Leader of the Generation Sector at the Electric Power Research Institute (EPRI), a non-profit organization which conducts research, development, and demonstration projects focused on electricity generation and delivery. Prior to this role, Dr. Boche served as a technical leader for AI at EPRI. Dr. Boche earned her Doctor of Engineering in Power Plant Optimization and a diplom in Energy and Process Engineering from Technische Universität Berlin.

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.

Gopal Erinjippurath serves as CTO and Head of Product at Sust Global, a venture focused on geospatial analytics for climate adaptation.

Most recently, he led the Analytics Engineering team at Planet Labs, an integrated aerospace and data analytics company that operates history's largest commercial fleet of earth observation satellites. Planet Analytics serves a range of customers from city planning teams in governments and the World Bank to defense and intelligence functions across the world. He is known for agile engineering execution from concept to scalable high quality products. He has been an invited speaker at global industry conferences like Google Cloud Next and leading technical conferences in the machine learning space such as ICML, CVPR and NeurIPS.

Previously Gopal managed teams working on industry-leading analytics products from early concept demonstrations to multiple customers at Captricity (Acquired by NASDAQ:SSNC) and Harvesting Inc, where he advised the CEO. Previously he led the algorithm engineering development of Dolby’s (NYSE: DLB) first imaging display product, the Emmy Award winning Dolby Professional Reference Monitor. Gopal holds an MS in Electrical Engineering from University of Southern California and completed the Ignite Program, connecting technologists with new commercial ventures, at the Stanford Graduate School of Business.

A leader and manager with extensive experience building new institutions and driving social and technical innovation in the private, public, & non-profit sectors. 

Michel's book, Lean Startups for Social Change was published in 2016. In addition to working with social sector organizations on implementing the lean startup, Michel directs the innovation & energy practices at infoedge, a firm leading innovative information strategies for a number of industries. Michel was recently a Senior Fellow with the Packard Foundation, developing a new innovation portfolio for climate policy-making, and founded Cooler (a company whose mission is to connect every consumer purchase to a solution for global warming), BuildingEnergy.com. He served as Chief Green Officer for Hara, the leading enterprise energy and environmental management software startup.

Beyond business, Michel also has a long history in research and teaching, policy, and advocacy. He is a lecturer at U.C. Berkeley and presently serves on the Boards of the Natural Resources Defense Council, Ceres, and the California Clean Energy Fund. He led Redefining Progress in designing the world’s most aggressive climate legislation (AB32 -- signed into California law in August of 2006), was a Congressional Black Caucus Fellow with the U.S. House of Representatives Energy and Commerce Committee; Director of Environmental Quality for the City of New York, and founding director of the Environmental Policy Program at Columbia University’s School of International and Public Affairs. He also served as Issues Director for Mayor Dinkins' campaign for Mayor of New York.

Michel earned his B.S., M.S. and Ph.D at U.C. Berkeley (where he wrote the first dissertation and taught the first-ever class on environmental justice) and is an alumnus of Deep Springs College. Michel holds two provisional patents for dynamic carbon footprinting and is the author of a number of academic and popular articles including "The Soul of Environmentalism". 

Matt Gordon is a physicist at Toyota Research Institute in Los Altos, CA. He manages AI for manufacturing projects on the Battery Factory of the Future team. His areas of expertise include lithium ion batteries, manufacturing, and physics-informed AI. Dr Gordon received his bachelors in physics and materials science from Princeton, and his doctorate in physics from the University of Illinois at Urbana-Champaign, studying single molecule biophysics. He has spent 13 years developing big data, machine learning and scientific computing applications at Palantir, AIG, and the US Department of Justice. He is also the executive director of Climate Tech Action Network, a non-profit climate tech think tank https://www.climatetechaction.network

Tim Holme received undergraduate training in physics and a PhD from Stanford with a focus on materials science and electrochemistry. In 2010, he co-founded QuantumScape where he has served as CTO since then, where he has developed and deployed machine learning models to analyze battery performance data. Among his roles at QuantumScape is statistics tutor to ensure that results are quantified with appropriate certainty and maximal value is extracted from experimental data. Tim developed and co-taught Bayesian Machine Learning for Scientists and Engineers at Carnegie Mellon University.

Dr. Matanya Horowitz is the founder and CEO of AMP Robotics, an industrial artificial intelligence (AI) and robotics company applying automation to modernize recycling and enable a world without waste. 

He developed and commercialized AMP’s breakthrough AI platform, AMP Neuron™, and robotics system, AMP Cortex™, which automates the high-speed identification, sorting, picking, and processing of material streams. AMP’s machine learning technology continuously improves performance by adapting to the complex, ever-changing material characteristics of municipal solid waste, construction and demolition (C&D) debris, and e-waste. Recognizing attributes down to the SKU and brand level, AMP can provide unprecedented data transparency and insights on waste streams to inform decisions and unite the value chain of circularity.

Fast Company recognized Matanya as one of 2020’s “Most Creative People in Business.” Waste360 named Horowitz its “2019 Innovator of the Year,” and included him on its annual “40 Under 40” list. Under his leadership, AMP has received numerous awards and international recognition, including Fast Company’s “World’s Most Innovative Companies for 2020,” Forbes "AI 50," Fortune’s “Impact 20,” an Innovation Award from Robotics Business Review, a Colorado 2020 “Inno on Fire” award, Cleantech Group’s 2021 Cleantech 100 and 2020 “Rising Star Company of the Year” award, The Circulars 2018 Award for “Circular Economy Top Tech Disruptor” at the World Economic Forum in Davos, and the National Waste and Recycling Association’s “2017 Innovator of the Year” award.

He earned four bachelor’s degrees, in electrical engineering, computer science, applied mathematics, and economics, along with a master’s degree in electrical engineering, from the University of Colorado at Boulder. He holds a doctorate in control and dynamical systems from the California Institute of Technology, with publications and research in control theory, path planning, and computer vision.

Eugene is an expert in the large-scale data processing and machine learning infrastructure space. With over 13 years of experience under his belt, he had spent the last 8 as a Staff Software Engineer at Google Cloud and Google AI, before fully realizing the urgency and opportunity of climate change mitigation and leaving in Aug 2020 with his friend Cassandra Xia to pivot into climate.

Currently he’s mobilizing professionals to work on climate long-term as part of the Work On Climate community and exploring other ways to accelerate the climate solutions ecosystem.

Volodymyr Kuleshov is the co-founder and Chief Technologist at Afresh, a startup focused on reducing waste in the food supply chain using AI, and an Assistant Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and in the Computer Science Department at Cornell University. He obtained his Ph.D. in Computer Science from Stanford University, where he was the recipient of the Arthur Samuel Best Thesis Award. Volodymyr’s work focuses on machine learning and its applications in health and sustainability. His work has been featured in Nature Biotechnology, Nature Medicine, Nature Communications and Scientific American and was awarded an NSERC Post-Graduate Fellowship and a Stanford Graduate Fellowship.

Sasha Luccioni is a Postdoctoral Researcher working with Yoshua Bengio at Université de Montréal and Mila. Her work sits at the intersection of AI and the environment, and her goal is to find ways to maximize the positive impacts of AI while minimizing the negative ones, be it from a research or application perspective. She is a 2020 National Geographic Explorer and holds an IVADO postdoctoral fellowship.

Amy Luers is the global lead for sustainability science at Microsoft Corporation. Previously, she served as executive director of Future Earth, assistant director for climate resilience and information at the White House in the Obama administration, director of climate at the Skoll Global Threats Fund, and senior environment manager at Google. Dr. Luers spent the first decade of her career working in Latin America, where she cofounded Agua Para La Vida, a nonprofit organization that works with rural communities to enhance access to potable water. Currently, she serves on the foresight committee of the Veolia Institute, and on the boards of several organizations including the Carnegie Climate Governance Initiative and the National Council for Science and the Environment. Dr. Luers is a member of the Council on Foreign Relations and previously served on committees of the United States Global Change Research Program and the National Academies of Sciences. She has a PhD in environmental science and MA in international policy studies from Stanford University, and a BS and MS in environmental systems engineering from Humbold State University, and BA in philosophy from Middlebury College. Luers has been recognized for environmental leadership as Switzer Fellow and for her innovation in big data and resilience as an inaugural Bellagio Pop Tech Fellow.  She has published widely on topics including societal vulnerability and resilience, climate impact and policy, sustainability science, science communication, and digitalization and sustainability.

Joseph is a senior data scientist at ECAA, leading their work on power plant monitoring. He has spent the last four years building machine learning applications for energy startups, with a particular interest in time series modelling and deep learning.

Shabaz leads the data science team at One Concern. His team focuses on building algorithms and models to capture possible impacts caused by natural hazards such as earthquakes, wind, and floods. Before One Concern, he was the co-founder and CTO at Datmo, working on versioning and deployment tools for Machine Learning Engineers and Data Scientists where they provided solutions to industries from finance to gaming. Over the course of his journey at Datmo, he worked on large-scale indexing of images and videos for multi-media search and offered these as APIs to enterprise users. Given strong synergies with One Concern's AI technology and its noble mission, Datmo joined forces with One Concern. He received his M.S. degree in Artificial Intelligence from Stanford and B.S. degree at IIT. He worked with Prof. Silvio Savarese on Convolutional Neural Network architectures and their applications in object tracking in the Stanford AI Lab.

Sierra is an investor, board member and former executive and policymaker. Currently working on something new in climate tech investing. Previously, she was a Partner at Lionheart Ventures where she led the fund's investing in early-stage technologies for climate stabilization. Prior to Lionheart, Sierra created and led corporate development teams for venture-backed financial technology platforms responsible for more than $3 billion in sustainability investment. She has worked in market-driven climate protection since 2005, serving with the International Energy and the Obama-era White House Office of Energy and Climate Change. Sierra currently serves on the Board of Directors of Climate Neutral and as an advisory board member with and investor in several phenomenal startups. 

John Platt is a Distinguished Scientist at Google Research, leading the Applied Science organization. One of the focus areas of Applied Science is climate change: we investigate how large-scale computation and AI can be employed to reduce global mean temperature. John is an applied mathematician who has worked on numerous fields, such as neural networks, computer graphics, planetary science, analog circuits, quantum computing, numerical analysis, computer vision, human-computer interface, support vector machines, data systems, Python, and computational geometry. For his work in computer graphics, he received a Technical Academy Award in 2006.

Nan serves as NCX’s Director of Forestry. She is responsible for the integrity and improvement of the estimates underpinning the NCX program, including business-as-usual assessments and carbon accounting procedures. She received the annual SAF Young Forester Leadership Award in 2020 and has held multiple leadership roles within SAF. She earned a PhD in Forest Biometrics from Michigan Technological University and a BS in Forest Ecosystem Science from SUNY ESF.

Buffy Price is & Co-founder of Carbon Re, an Artificial Intelligence (AI) and climate tech startup developing solutions to help manufacturers transition to net-zero. Prior to Carbon Re, Buffy was the AI for Climate Partnerships Manager, Element AI, supporting the private and public sector to apply machine learning techniques in their efforts to solve the climate crisis. Buffy spent 7 years as a Senior Advisor at Amnesty International and has extensive experience in strategy development, organizational processes and change management.

Sekou L. Remy is a Research Scientist and Challenge Lead at IBM Research – Africa.  He is excited about developing appropriate technologies which will transform Africa, and the world. Sekou loves learning, and is trained both in the Liberal Arts and Engineering. A proud alum of the Georgia Institute of Technology and of Morehouse College (both in Atlanta, GA USA), Sekou has also spent time learning and teaching at Clemson University, the University of Notre Dame, Spelman College, and at the University of Washington.

Daniel is heading the data science team at Tracks and explains the ideas and the technology behind Tracks' AI to all stakeholders in- and outside the company. He has been working in fundamental research in quantum chemistry for more than 10 years where he managed international teams of researchers on quantitative modelling projects.

David Rolnick is Assistant Professor in the School of Computer Science at McGill University and at the Mila Quebec AI Institute. He is co-founder and chair of Climate Change AI and serves as scientific co-director of Sustainability in the Digital Age. Dr. Rolnick has also worked at Google and DeepMind, and is a former NSF Mathematical Sciences Postdoctoral Research Fellow, NSF Graduate Research Fellow, and Fulbright Scholar. He received his Ph.D. in Applied Mathematics from MIT.

Diego is the founder and CEO of Pachama, a Y Combinator-backed startup working to accelerate the flow of capital to carbon capturing projects starting with forests biomass projects. Pachama harnesses satellite images and machine learning to verify the carbon storage on forests and then connects directly project developers with carbon credits buyers in an open marketplace.

Prior to Pachama, Diego co-founded Bluesmart, an IoT company that raised $20M in venture capital in Silicon Valley and China and was acquired by industry leader TravelPro. Diego also co-founded WeHostels, a pioneering online travel marketplace which was acquired by StudentUniverse. Diego was awarded with the MIT 35 Innovators under 35 and was selected as High-impact Entrepreneur by Endeavor Global.

Max Song is Founder and CEO of Carbonbase. He was a venture partner at a HK based family office, where he conducted research into investments focused on AI, TMT and blockchain/digital asset opportunities. Max previously worked as a data scientist -first at DARPA-funded machine learning company Ayasdi in Silicon Valley, then as a visiting DS at Snips in Paris, and rotated through several of Formation 8 VC’s portfolio companies. He was the co-author of the http://thedatasciencehandbook.com/ - which was downloaded 40,000 times around the world. Max was selected as part of the first class of Schwarzman Scholars, where he completed a Masters at Tsinghua University, and wrote his thesis on US-China cross border investment opportunities for renewable energy. He is a graduate from Brown University, conducted research in genetic engineering at NASA Ames, co-founded Brown’s first startup accelerator, worked as a Teaching Fellow at Singularity University. He is currently a part time PhD student focusing on climate finance and public policy.

Dr. Jayantika Soni is the co-founder and CTO of Resync, an early-stage startup building an AI-driven energy cloud. She started Resync with her co-founder, Emir Nurov in late 2017. Resync is making power systems with renewables and buildings more efficient by advanced control and machine learning algorithms. Dr. Soni holds a Ph.D. in electrical engineering from the National University of Singapore and a bachelors from IIT, Varanasi.

Previously Nathan was a data scientist on the Wells Fargo Enterprise Analytics and Data Science team where he led a small team as head of Natural Language Processing (NLP) and Speech Capabilities Development, and was focused on building out Wells Fargo's capabilities in areas related to NLP, deep learning and data science product design. Nathan holds a Masters in Predictive Analytics from Northwestern University and is working on his second Masters in Computer Science from Georgia Tech. He has been with Wells Fargo for the past five years and worked in marketing analytics prior to his current role.

Brian is CTO and Chief Scientist at Terrafuse and Associate Professor at UNC Chapel Hill. He conducted his Ph.D. at MIT and leads the Laboratory for Environmental Fluid Dynamics at UNC where he conducts research on machine learning and data-driven methods for climate processes. He has published over 30 scientific journals and received over $8M in federal grant funding from the National Science Foundation, the Office of Naval Research and the U.S. Air Force.

IZ currently serves as Head of the Remote Sensing Group at Indigo Agriculture, where ML is used to determine the presence of regenerative agriculture practices from space. He has also served as the Director of the Payload Group at Planet Labs, where we helped develop distributed satellite constellations and data products. He holds a doctoral degree in Physical Chemistry from Stanford University and has authored several scientific publications in the field of systems biology and instrumentation development.