Zia Khan is the Senior Vice President for Innovation at The Rockefeller Foundation, where he oversees the Foundation’s approach to developing solutions that can have transformative impact on people’s lives. He partners with various initiative teams to incorporate innovation into their strategies. He also leads programmatic work to develop new tools, fields, and movements to improve the social impact of innovations, particularly those related to data and technology. He advises a number of partners and grantees on strategy and leadership. His prior roles at the Foundation included leading strategy, the program portfolio, and monitoring and evaluation. Zia serves on the Boards of many different impact-oriented enterprises. He has served on the World Economic Forum Advisory Council for Social Innovation and the U.S. National Advisory Board for Impact Investing. Prior to joining the Foundation, Zia was a management consultant advising leaders in technology, mobility, and private equity sectors. He spent most of his career at Katzenbach Partners where he founded the San Francisco office and led the West Coast practice. He worked with Jon Katzenbach on research related to leadership, strategy, and organizational performance, leading to their book Leading Outside the Line. Zia holds a B.S. from Cornell University and M.S. and Ph.D. from Stanford University.

David Lobell is a Professor at Stanford University, where he leads a research group devoted to applications of data science for food security. He has led research projects on agriculture in Africa, Asia, Latin America, North America, and Australia, and has held advisory roles for many leading agricultural organizations. He has been recognized with a Macarthur Fellowship in 2013, a McMaster Fellowship from CSIRO in 2014, the Macelwane Medal from the American Geophysical Union in 2010, and a lead author role in the IPCC’s Fifth Assessment Report. David received a PhD in Geological and Environmental Sciences from Stanford in 2005, and a Sc.B. in Applied Mathematics from Brown University in 2000.

Lewis Pinault is an Airbus Ventures Partner based in Tokyo, managing Airbus Ventures’ activities in the Asia Pacific region. Advising and supporting Airbus innovation projects for over a decade, Lewis also designed and led incubator and innovation centers for the UK Government’s Digital Catapult, EDS, Shell, and others, building from his own mid-career experiences as a NASA researcher trying to link startups to large corporates. Previously, Lewis was a Financial Institutions Partner at Coopers And Lybrand in Singapore and Hong Kong, beginning his early consulting career at The Boston Consulting Group in Tokyo. His lifelong passions for exploring the oceans and space seeking the most advanced technologies available first brought him to Asia as an engineer and corporate planning analyst with Nihon Kokan. Lewis earned his Bachelor of Science degree at MIT, completed an MSc at London School of Economics as a Fulbright Scholar, and was a NASA Space Grant Fellow at the University of Hawaii, where he completed his juris doctorate in international law and planetary geophysics.

Abe’s career has spanned the renewable energy, accelerated semiconductor and data for development sectors over close to two decades, including substantial experience living and working in Asia and Sub-Saharan Africa. Across all of these settings, Abe's passion has been to build high performing teams, to pioneer new markets for innovative technologies and to apply those technologies to solve societal issues. Prior to joining Atlas AI, Abe was a Principal at Incandescent, a boutique consulting firm where he led a range of engagements for the firm’s social sector and venture clients, with a specific focus on advancing the ‘data for good’ ecosystem. Earlier in his career, Abe was the Director of Business Development for Premise Data, and the Vice President of Global Strategy and Business Development for Astonfield Renewables. Abe earned a B.S. in Electrical Engineering from Yale University and was named a Presidential Scholar by the Clinton White House. He is a First Mover Fellow with the Aspen Institute’s Business and Society Program and serves on the Advisory Board of the program. To further his passion for conservation, Abe serves as the Treasurer of the Board of Directors of Save the Redwoods League, a 100-year old organization dedicated to protecting and restoring California’s unique redwood forest ecosystems.

George oversees the definition and implementation of Atlas AI's technological vision and leads its RD efforts. He helped establish the foundations of Atlas AI and lead the initial team in Summer 2018. George has over ten years of research experience with earth observations and machine learning to monitor environmental, agricultural, and socioeconomic indicators. Before joining Atlas AI, George was a research scientist at Stanford University, where he worked with the Stanford Artificial Intelligence and Sustainability Lab, the Center on Food Security and the Environment, and the Department of Earth System Science. George holds a Ph.D. in Earth System Science from the University of California, Irvine, an MSc in Geophysics and a BSc. in Physics from Universitá Degli Studi Roma Tre (Rome, Italy).

Ginger helps to design and develop Atlas AI’s backend production services and APIs. Prior to joining Atlas AI, she worked at Mimecast as a software engineer where she helped to build and deliver a new product that utilized machine learning models to classify dangerous emails. Before that, Ginger lived in South Korea for three years where she built software for United States Forces Korea. Ginger holds a Master of Computer Science, Master of Geospatial Information Science, and a Bachelor of Science in Environmental and Agricultural Sociology, from North Carolina State University.

Jeff has been working in geodata engineering for over a decade at organizations such as Uber, Gap Inc, and NOAA. In his career, Jeff has taken on various roles as a Technical Program Manager, Data Engineer, Analyst, and Product Manager. His work has spanned a number of technical domains including large scale geodata processing and analysis, data modeling, remote sensing, and creating ML models utilizing geodata. He has applied and developed these skills in a variety of knowledge domains including logistics, real estate, retail, environmental engineering, and mapping. Jeff holds a MS in Geography focusing on Geographic Information Systems from San Diego State University and a BS in Earth Sciences from the University of California at Santa Cruz.

Marshall is an Associate Professor of Earth System Science at Stanford University and Deputy Director of the Center on Food Security and the Environment. He is also a faculty fellow at the National Bureau of Economic Research. Marshall has a PhD in Agricultural and Resource Economics from UC Berkeley and publishes frequently in top scientific and economics journals, including recent publications in Science, Nature, and the Quarterly Journal of Economics.

Karen oversees Atlas AI’s strategic relationships in support of market and impact expansion. She has in-depth experience with multi-sectoral collaborations, impact evaluation, and social sector initiatives across sub-Saharan Africa, India, and Latin America.

Prior to joining Atlas AI, Karen worked for Deloitte Consulting’s Government And Public Service practice, where she served as strategic advisor to the U.S. Department of State, the Ukrainian Ministry of Health, and Denmark’s International Centre for Antimicrobial Resistance Solutions. Karen has also scaled international programs and business development activities for TOMS Shoes and dynamic research institutes at USC and UCLA. Karen served as a Peace Corps Volunteer in Niger and obtained an M.P.P. and a Ph.D. in Public Health from UCLA.

In his role as a machine learning engineer, Gabe designs, develops, and evaluates the mathematical models that convert terabytes of raw data into key insights. In addition to a strong familiarity with the academic side of machine learning research, he has significant experience solving practical AI problems through deployment and analysis of models in industry. Gabe graduated from Princeton magna cum laude with a degree in Computer Science and a certificate in Applied and Computational Math. He finished up his education at the University of Washington, obtaining a PhD in Computer Science with a focus on how Big Data can be used for predictive purposes in developing countries. His published research has included using anonymized call data to predict wealth, inferring road quality from satellite imagery and debugging complex machine learning systems. Gabe has also had experience with machine learning in industry. He worked two years for Microsoft in the Bing Core Relevance team as a program manager and had internships with both Microsoft Research (in Redmond) and IBM Research Africa (in Nairobi) as a researcher.

Jacob is a systems architect in the APAC region creating low-cost, high-performance IT solutions. He's an experienced data engineer, spatial analyst, and linux systems admin with an academic background in anthropology.

He likes data, spatial data, data pipelines, process mapping and automation. He likes to think about how humans use data as tools for thought, behavioral and cognitive geography, ambient technology as well as traveling vast distances in search of creativity and knowledge, walking and getting lost on purpose and cheesecake.

Sarah designs and develops Atlas AI's machine learning models that tackle questions surrounding poverty and economic development. A recent graduate of Stanford University, Sarah holds a Masters of Science in Computer Science with a specialization in Artificial Intelligence. While at Stanford, she worked as a Graduate Course Assistant for one of Stanford’s most popular machine learning courses, CS230 Deep Learning. She also worked as a Research Assistant in Stanford’s Sustainability and Artificial Intelligence Lab, where she investigated the benefit of utilizing satellite imagery to monitor air pollution in areas across the United States lacking on-the-ground monitoring stations. Prior to attending Stanford, she completed her Bachelors in Mathematics and Computer Science at Georgetown University in Washington, D.C.

Deven comes from Planet Labs, where he oversaw the go-to-market of several product lines and built the energy business into the 3rd largest revenue source by vertical in 18 months. He has experience in remote sensing, application development, distributed computing, data analysis, and commercializing technologies in emerging markets. Before Planet, he helped sell pants (among other things) more efficiently by working on NLP and Search products at various e-commerce retailers. Deven has a MS in Information Technology and a BS in Software Engineering from DePaul University in Chicago and a BS in Business Administration from Linköping University in Sweden.

Stefano advises the team on machine learning technology. He is also an Assistant Professor of Computer Science at Stanford. He has won several awards, including a NSF Career Award, ONR and AFOSR Young Investigator Awards, Microsoft Research Fellowship, Sloan Fellowship, and the IJCAI Computers and Thought Award. Stefano earned his Ph.D. in Computer Science at Cornell University in 2015.

Shruti manages Atlas AI's ML pipelines in the agriculture vertical. Prior to joining Atlas AI, she worked at UC Berkeley's Global Policy Lab on mapping the history of economic and natural resources in Africa, Asia, Caribbean, and the Pacific using modern satellite imagery and 1.6 million historical aerial photographs. Shruti has extensive experience in the development sector in India. She worked with Avanti Learning Centres, a startup in the Ed tech space, to deliver high quality Math curriculum to tier 2 towns in India. As a Fellow with Teach For India, she taught fourth and fifth graders in a low income neighborhood school in Delhi. She interned with J-PAL South Asia to evaluate the impact of rice fortification schemes in rural Tamil Nadu. Shruti holds a Masters in Public Policy from UC Berkeley, and a Bachelors in Electronics and Communication Engineering from IIT Roorkee.

David Lobell is a Professor at Stanford University, where he leads a research group devoted to applications of data science for food security. He has led research projects on agriculture in Africa, Asia, Latin America, North America, and Australia, and has held advisory roles for many leading agricultural organizations. He has been recognized with a Macarthur Fellowship in 2013, a McMaster Fellowship from CSIRO in 2014, the Macelwane Medal from the American Geophysical Union in 2010, and a lead author role in the IPCC’s Fifth Assessment Report. David received a PhD in Geological and Environmental Sciences from Stanford in 2005, and a Sc.B. in Applied Mathematics from Brown University in 2000.

Andre manages Atlas AI's global sales initiatives, which include all client facing functions and the company's go-to-market strategy. With over two decades of experience in the financial services, geospatial, and software industries he brings an exemplary track record in strategy, sales, and building high-performing businesses in diverse industries and geographies. Prior to Atlas AI, Andre was the Senior Sales Executive at Planet Labs where he opened up the company's Energy vertical and finished his tenure at 240% to goal. During his career, Andre has assumed a variety of leadership roles, which included building Bloomberg's first geospatial application, a global mapping and analytic tool that was the darling of Wall Street commodities traders, he led Thomson Reuters' North and South America Energy and Commodity Business, and he ran his own data analytics company that leveraged both structured and unstructured data to find the relationships, patterns, and impacts that affected the commodities markets. Andre graduated from Princeton University where he also played soccer and was a member of the U-18 and U-20 National Teams.

In his role as Product Designer, Atharva designs & manages the user experience & branding efforts at Atlas AI. Helping our customers navigate through gargantuan data in a digestible manner, assisting them in achieving their goals. He comes from a multidisciplinary background in design, arts & engineering with experience in designing for emerging technology such as machine learning & Augmented Reality. At the same time designing for emerging markets under challenging constraints. Atharva has a MPS from NYU's Interactive Telecommunications Program & B.Tech in Mechanical Engineering from IIT Gandhinagar.

Anthony designs and develops Atlas AI's machine learning based approach to track poverty and wealth. He is well versed in a variety of Machine Learning (ML), Geographic Information Systems (GIS), and Software Engineering tools that are used to deploy AI-based solutions from raw data to web app at scale. Prior to joining Atlas AI, Anthony was a member of the Sustain Lab at Stanford University where he published on the subject of mapping poverty throughout Africa using remote sensing and machine learning. Anthony graduated from Stanford University with a B.S and M.S. in Computer Science specialized in AI.

Vivek shapes Atlas AI's portfolio of development analytics services. He brings more than a decade of experience in systems planning, design, and investment advisory for development projects in energy, transport, water, ICT, and urban built environment. Vivek was previously the Global Director for Infrastructure Analytics at CPCS, a management consulting firm specializing in infrastructure, overseeing the firm's modeling, analytics, and visualization services across its geographies, including Africa. Among his past clients are the World Bank, Millennium Challenge Corporation, African Union Commission, PIDA, GIZ, private firms, ministries and agencies. Vivek has a PhD in Systems Engineering and Master's in Technology and Policy both from MIT, where he also led research at the KACST-MIT Center for Complex Engineering Systems, the MIT Energy Initiative, and MIT Tata Center for Technology & Design. He is a member of the US National Academies' Transportation Research Board Urban Freight Committee, Assistant Editor for Engineering Project Organization Journal, and a board member for Ballroom Basix, a co-curricular dance and cultural program for K-12 students.

Powered by sour patch kids and Drake filled playlists, Amit (he/him) works to architect the structure of geospatial front ends, turn them into highly-performant code, and identify new insights with data visualizations and geographic information systems.

Before Atlas AI, Amit worked as a software engineer at Esri, constructing software to empower companies and organizations to understand their location data across various domains (e.g., commercial, public sector, transportation, energy). Amit is a University of Arizona Wildcat, where he earned his bachelor's of science in Information Science & Technology.

Outside of work, he loves finding new places to eat 🍔, mentoring other engineers👩‍💻 , and taking pictures of cats 🐈 .

Anaïs oversees the marketing operations to support brand awareness and market expansion at Atlas AI. She is a French-Moroccan entrepreneur passionate about using disruptive tech to have a large scale positive social impact. Her marketing experience ranges from the private to public sectors in the non-profit, research, investment, travel tech and insure tech spaces in the U.S. and Latin America, launching products to market, building and growing brands, developing and executing growth strategies and managing campaigns. Anaïs has lived around the world and speaks 4 languages; English, French, Spanish and Portuguese. She holds a BS in Economics and Environmental Sciences from UCLA and a Masters in Business from the University College London.

Abe’s career has spanned the renewable energy, accelerated semiconductor and data for development sectors over close to two decades, including substantial experience living and working in Asia and Sub-Saharan Africa. Across all of these settings, Abe's passion has been to build high performing teams, to pioneer new markets for innovative technologies and to apply those technologies to solve societal issues. Prior to joining Atlas AI, Abe was a Principal at Incandescent, a boutique consulting firm where he led a range of engagements for the firm’s social sector and venture clients, with a specific focus on advancing the ‘data for good’ ecosystem. Earlier in his career, Abe was the Director of Business Development for Premise Data, and the Vice President of Global Strategy and Business Development for Astonfield Renewables. Abe earned a B.S. in Electrical Engineering from Yale University and was named a Presidential Scholar by the Clinton White House. He is a First Mover Fellow with the Aspen Institute’s Business and Society Program and serves on the Advisory Board of the program. To further his passion for conservation, Abe serves as the Treasurer of the Board of Directors of Save the Redwoods League, a 100-year old organization dedicated to protecting and restoring California’s unique redwood forest ecosystems.

My-Hanh took on the new role as Atlas' HR & Operations Manager. Prior to this, she served as the Executive Assistant to the CEO. In this new capacity, she uses over 10 years of experience to provide administrative assistance to the staff and manages the day-to-day operations of the company. In addition, My-Hanh provides technical and logistical support for any meetings and manages all HR related issues. Before joining the team, she worked as an Operations Manager for an escrow company and as an Events Manager responsible for planning and coordinating weddings. In her pastime, she enjoys spending time in the kitchen cooking up something delicious or playing board games with her husband and two daughters.