Bridging the worlds of academia, practice, and entrepreneurship, Dr. Mariela Alfonzo is an internationally-renowned thought-leader and speaker, with 20+ years of experience on the nexus between urban design, behavior, and the quadruple-bottom line. For over two decades, her work has focused on quantifying how the micro-scale aspects of the built environment affect our behaviors, perceptions and decisions, and in turn, how these impact a broad spectrum of quality of life outcomes, across individual, community, civic, and environmental domains. Dr. Alfonzo is the Founder and CEO of State of Place, an AI-driven, urban design data and predictive analytics software that helps citymakers create more just, thriving communities more effectively, cost-efficiently, and inclusively. State of Place helps city-makers harness the power of their street-level urban design data, evidence-based recommendation engine, scenario modeling, and forecasting tools to co-create more livable, equitable, and sustainable communities that optimize social, health, environmental, and economic value, while building community trust, facilitating collaboration and co-creation, and driving the consensus needed for real change. Over the course of her two-decades-plus career, Dr. Alfonzo was named one of Urban Land Institute's 40 under 40 best young land use professionals around the globe in 2014; is a New Cities Foundation Placemaking Fellow; is a Fulbright Scholar; and a Research Professor at NYU Tandon's School of Engineering. She holds a Ph.D. in urban planning from UC Irvine, as well as a Masters in Urban Planning, and a BA from University of Miami in psychology and architecture.

Sam Barrett is a Senior Data Scientist and Machine Learning Team lead at Regrow Ag. He has spent the last 4 years working at the intersection of agriculture, remote sensing, and machine learning. Having previously completed a PhD in Palaeoclimatology, he is excited at Regrow to work on agricultural remote sensing products in the context of climate mitigation and adaptation. Sam has worked on diverse applications of remote sensing in agriculture and in particular has experience in numerous practical commercial applications of crop type classification and mapping using machine learning and remote sensing imagery.

Erin Boyle is the Head of Data Science at Myst AI, a Series A company providing a forecasting platform and service to organizations in clean power. She manages a team of ~five data scientists to increase the breadth and accuracy of forecasting at Myst. Prior to Myst, she worked at Stitch Fix for five years, where she owned the company’s core style recommendation system. Her academic career included a PhD in Physical Chemistry, where she worked on fundamental experiments relating loosely to solar hydrogen production, as well as atmospheric science.

Samuel Buteau received his Ph.D. in Physics from the Dahnlab at Dalhousie University, applying machine learning to support research on lithium-ion cells. He also worked as a Lead Data Scientist at a fast charge battery optimization startup (GBatteries) before joining QuantumScape as a data scientist consultant, to work on applied R&D projects.

Jason Calaiaro is head of engineering for AMP Robotics. He has nearly 15 years of experience in robotics and autonomous systems. Before joining AMP, he founded Marble, now CAT Robotics, where he pioneered robots for last-mile delivery. He also developed aerial transportation drones at Matternet, the first FAA drone airline, and served as chief information officer and director of propulsion at Astrobotic Technology. Calaiaro holds a bachelor's degree in mechanical engineering from Carnegie Mellon University.

Dr. Newton Campbell is a Computer Scientist specializing in artificial intelligence. Through SAIC, he currently serves as an Artificial Intelligence subject matter expert on the NASA Langley Research Center OCIO Data Science Team. There, he leads the development of several programs in urban air mobility, geomagnetism, virtual reality, and high-performance computing for Earth Sciences. Prior to NASA, Dr. Campbell spent 10 years doing research and development in support of the US Department of Defense and Intelligence Communities. In that capacity, he served as the Principal Investigator and technical lead of multiple cybersecurity and artificial intelligence projects, with specific focus on Internet Privacy and Cyber-Physical Systems. Dr. Campbell completed his PhD in Computer Science at Nova Southeastern University. He regularly coordinates STEM activities with schools and media groups in the Baltimore-Washington Metropolitan area. He is an active member of the Planetary Society, the Philosophical Society of Washington, and IEEE. He is a member of the Schusterman Foundation REALITY network, the Australian-American Leadership Dialogue, and the French-American Foundation, representing Young US technology leaders.

Specialties: Control Theory, Machine Learning, Applied Mathematics, Data Mining, Navigation Planning, Object Oriented Design, Intrusion Detection, Cryptography (including homomorphic and quantum), Cyber Forensics, Cloud Computing, Mobile Technologies, Software and Systems Architecture, Power Grid Resiliency, Computational Physics, Public Policy

Tom is the founding partner of At One Ventures, which backs early-stage (Seed, Series A) companies using disruptive deep tech to upend the unit economics of established industries while dramatically reducing their planetary footprint.

Previous to founding At One, Tom was a founding member of Google X where he led the teams that created self-driving cars, deep learning artificial intelligence, wearable augmented reality and internet connectivity expansion. He played a significant role in established projects with global reach including Microsoft (Outlook) and Yahoo (Search, Answers). 

He has also spent time in the developing world and via social entrepreneurship accelerators, mentoring 200+ entrepreneurs working on global development issues such as access to clean water, electricity, education, health care, and employment.

Tom has spoken at TEDx, Aspen Institute, YPO, SuperVenture, IDEO, Unreasonable and Summit at Sea. He  is also a lifelong inventor, with 75 patents across hardware, software, design, and mechanical systems.

Before Terrafuse AI, Hunter worked at Ajax Strategies, where she invested in early stage climate technology companies, seven of which have since exited including three public offerings. She also served on the philanthropy team at Energy Innovation supporting nonprofits focused on decarbonization. Prior to that, Hunter designed solutions for climate change adaptation and habitat restoration as an environmental engineer. Hunter studied business at The Wharton School and Environmental Science at UCLA.

Olivier is a statistician, data scientist and entrepreneur focussed on finding scalable solutions to climate change.He founded electricityMap with the mission to organise the world's electricity data to drive the transition towards a truly decarbonised electricity system.electricityMap is the leading resource for electricity CO2 data. They are used, for example, by Google to shift the timing of compute tasks running on their hyperscale data centers to times when low-carbon power sources, like wind and solar, are most plentiful.

Archy leads data science at CarbonChain, building datasets and models to characterize the world’s most polluting supply chains. He’s applied machine learning in a variety of climate tech companies, ranging from demand side response & generation forecasting to satellite monitoring of heavy industry. He previously worked in applied research and product management at Element AI in Montreal, building NLP products for the enterprise. He received his PhD in neuroscience from University College London.

Peter Dudfield holds a  PhD from the University of Cambridge and current is a ML learning Engineer at Open Climate Fix. He has a passion for working with current edge technologies to help fight climate change. 

Before working at Open Climate Fix, Peter worked in large scale battery optimisation with Habitat Energy and helped set up the largest UK battery optimisation portfolio. Peter also worked in the Wind Power sector with Siemens Gamesa, developing image recognition technology for damaged wind turbine blades.

Matineh Eybpoosh is a serial entrepreneur in the energy space. She has more than a decade of experience and leadership in building machine learning and optimization solutions for energy systems, energy markets, as well as distributed energy resources such as batteries and electric vehicles. Currently, she is the founder and CEO of gigElev, a software company for integration of electric vehicles to the electricity grid. Before gigElev, she was the co-founder and CEO of Watt-Learn, offering an AI-based software solution for grid-scale batteries. She led Watt-Learn to a successful exit through an acquisition. Prior to her entrepreneurial journey, Matineh was Director of Data Science in energy startups and has gained her PhD from Carnegie Mellon University. 

André is a data scientist at TransitionZero, modeling CO2 emissions from power plants through satellite data. He previously worked at Jungle, doing predictive maintenance for wind turbines. Holds a Master's in Electrical and Computer Engineering from Instituto Superior Técnico.

Siddha Ganju, whom Forbes featured in their 30 under 30 list, leads AI innovation in LLM and Guardrails along with the deployment of Medical Instruments for Nvidia partners at Nvidia. Siddha previously worked in the self-driving teams for simulation, perception, scalable training, and inference along with global automotive partnerships and go-to-market strategies.

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

Gabriel has over 10 years of experience in the energy industry focusing on numerical computation, market optimization, and energy derivative pricing and risk management.

Max is a data scientist at NCX working to connect every American forest landowner to net-zero pioneers. His doctoral training was in quantitative ecology, and he earned an undergraduate degree in wildlife biology. Using Bayesian hierarchical models and deep learning, Max develops probabilistic models of forest carbon and deforestation using earth observation data from diverse sensors. His previous work spans many systems and approaches, including extreme value theory, natural hazards, and disease ecology. He also contributes to open source software projects in Python and R, to foster open, reproducible, and reliable science.

Associate Professor at Brown University, Chief Scientist at Perennial, NASA GEDI co-Investigator.

Dr. Youngsuk Kim has been designing and developing complex predictive risk models for over 15 years. Currently, he serves as Senior Data Science Manager at One Concern, a Menlo Park-based Resilience as a Service solution provider that brings disaster science together with machine learning, for better decision-making. In his role, he leads resilience model development, data analytics, verification, and validation of the company’s models.

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.

Brent Lunghino is a data scientist at Kevala. He enjoys using data to answer questions about how to integrate distributed energy resources into the  grid. He holds an MS in Computational and Mathematical Engineering from Stanford University.

Areeb is a seasoned ML practitioner and generalist software engineer. After graduating from Cornell University and racking up over five years of engineering experience at Facebook, he set out to co-found Glacier in 2019 to make a serious and immediate impact in society’s fight against climate change. Since then he’s build out a small, burgeoning team with several customers across the recycling industry and is excited to grow Glacier’s impact on the world. In addition to working tirelessly to improve our recycling system, he’s passionate about getting smart, talented people involved in climate tech.

Dr Ben McNeil is a climate scientist, co-founder and chief data-scientist at Emmi and adjunct Senior Fellow at the University of New South Wales. 

Ben has over two decades in climate research starting as a post-doc at Princeton University at the Atmospheric and Oceanic Sciences in the year 2001.  Over the past 20 years, Ben has collaborated with many climate scientists and has experience in applying machine learning techniques to large climate data-sets in order to gain insights into carbon flows around the world. 

In 2019, Ben co-founded Emmi, a carbon risk platform that allows investors to deeply understand present and future risks of any publicly listed company or investment portfolio by combining both financial and carbon data.  The goal of Emmi is to empower financial markets to net-zero.

Robert Meyer is a Data Scientist and Neuroscience researcher by training. He completed his PhD at TU Berlin and simulated parts of the cat brain. 

After working for the German unicorn Flixbus for 2 and half years building an automated bus ticket pricing pipeline, he joined the Entrepreneur First incubator. There he met his co-founder Leopold Spenner and together they started alcemy, a Machine Learning startup to accelerate the decarbonization of the cement and concrete supply chain.

Joseph Montoya is a Senior Research Scientist on the Energy and Materials team at the Toyota Research Institute.  At TRI, his primary role is to engineer software that enables scientists and engineers to accelerate the rate at which they discover new materials.  His current projects involve engineering of corrosion-resistant catalysts, automating sequential learning for materials discovery, and developing multi-fidelity models to connect simulation to the physical laboratory.

I am an Operations Research Scientist at Convoy  I develop modern routing technologies in the intersection of classical Operations Research and Machine Learning. Before joining Convoy, I graduated from the Department of Operations Research and Financial Engineering (ORFE) at Princeton University. I received my B.S. degree in Electrical Engineering from Sharif University of Technology. 

The highlights of my carrier include:

Reducing the empty miles of truck routes, an equivalent of saving 2 trees per route.

Developing an AI framework for automated telescope scheduling in graduate school. The framework was funded by and adopted for LSST, a.k.a the telescope of the decade.

Traveling to many provinces of Iran for teaching creative problem solving and astronomy to underprivileged high school students. 

I lived in Karaj, Tehran, Princeton and currently I am based in Seattle. I enjoy Tango, Salsa, watercolor paining and reading bad novel series.

Dr. Nicole Schauser is a Senior Applications Engineer at Voltaiq, the industry’s first Enterprise Battery Intelligence™ software platform. She joined Voltaiq after completing her PhD in materials science at UC Santa Barbara, where she studied ion transport in solid polymer electrolytes for both lithium and multivalent batteries. Her experience includes research and development on lithium metal and silicon anodes, as well as solid-state electrolytes. Now at Voltaiq, she works closely with Voltaiq’s enterprise customers on their battery development programs, as well as contributing to the Product and Analytics development efforts at Voltaiq.

David Schurman is a computational scientist, information designer, and entrepreneur specializing in Earth and planetary sciences applications. He is the co-founder and Chief Innovation officer of Perennial, a remote sensing and climate-tech company developing a global measurement platform for soil-based carbon credits. Prior to Cloud Agronomics, David was a software lead at NASA’s Jet Propulsion Laboratory, where he led incubation for a data science and UI toolset currently being used to search for life on Mars by the Perseverance Rover science team. David holds a bachelor’s degree in Computer Science from Brown University.

Prachi is a technology and innovation executive who has taken diverse leadership roles over a span of 20+ years, guiding the strategy, engineering, go-to-market, delivery and brand of solutions across domains like environment, infrastructure, public health, education, defense and more. As a Vice President within Booz Allen Hamilton's Civil sector, she is leading the strategy and solutions for climate mitigation and adaptation across markets. Previously, as Amentum’s Vice President, she led the technology strategy and offerings by leveraging Analytics/AI/Automation, IoT, and emerging tech. She was a Technical Fellow at SAIC and led initiatives in Advanced Analytics, Big data and Software. Prachi combines human-centered design, Agile and workplace collaboration approaches to drive entrepreneur-style innovation. She holds a Master’s in Computer Science from University of Illinois at Urbana-Champaign and executive education in a variety of leadership, innovation and data science. She has served in leadership and mentor positions for organizations like Northern Virginia Technology Council and Women In Technology.

Manik is Founder and CEO of Therma. Therma combats climate change by reducing the carbon footprint of one of the least understood and most significant causes of global warming: refrigeration. Previously, Manik co-founded the Governance Lab (GovLab), an innovation center at NYU that develops technology solutions to improve government. He has been recognized amongst the Top 100 Harvard Alumni in Technology, a past Affiliate of Harvard's Berkman Center for Internet & Society, and previously held positions at global investment firm D. E. Shaw & Company and the White House National Economic Council.

Brinda Thomas has a Ph.D. in Engineering & Public Policy from Carnegie Mellon University, where she conducted energy efficiency research for the CMU Electricity Industry Center and the Climate and Energy Decision-Making Centers. She then transitioned to a career in data science at companies such as GE, Tesla, and start-ups prior to joining PG&E. She has built machine learning models and data tools for applications related to manufacturing, operations and maintenance, and demand forecasting. She has a B.S. in Physics from Stanford University and started her career as a contractor to the U.S. Department of Energy’s Hydrogen & Fuel Cell R&D program.

Claudia Viquez is a Data Scientist at Citrine Informatics where she works with some of the world’s leading materials and chemicals companies to implement ML-driven product development. Claudia has experience in industry and academia in developing both numerical and machine learning methods in chemistry, and is passionate about making computational tools accessible and intuitive to use. Prior to Citrine, Claudia worked at Climate Corporation and was a deep learning post-doctoral researcher at Purdue University. She earned her BA in Chemistry from Grinnell College and PhD in Computational Chemistry from Purdue University.