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John Weyant

Professor (Research) of Management Science and Engineering, of Energy Science Engineering and Senior Fellow at the Precourt Institute for Energy

BioJohn P. Weyant is Professor of Management Science and Engineering and Director of the Energy Modeling Forum (EMF) at Stanford University. He is also a Senior Fellow of the Precourt Institute for Energy and an an affiliated faculty member of the Stanford School of Earth, Environment and Energy Sciences, the Woods Institute for the Environment, and the Freeman-Spogli Institute for International Studies at Stanford. His current research focuses on analysis of multi-sector, multi-region coupled human and earth systems dynamics, global change systems analysis, energy technology assessment, and models for strategic planning.

Weyant was a founder and serves as chairman of the Integrated Assessment Modeling Consortium (IAMC), a seventeen-year old collaboration among over 60 member institutions from around the world. He has been an active adviser to the United Nations, the European Commission, U.S.Department of Energy, the U.S. Department of State, and the Environmental Protection Agency. In California, he has been and adviser to the California Air Resources, the California Energy Commission and the California Public Utilities Commission..

Weyant was awarded the US Association for Energy Economics’ 2008 Adelmann-Frankel award for unique and innovative contributions to the field of energy economics and the award for outstanding lifetime contributions to the Profession for 2017 from the International Association for Energy Economics, and a Life Time Achievement award from the Integrated Assessment Modeling Consortium in 2018. Weyant was honored in 2007 as a major contributor to the Nobel Peace prize awarded to the Intergovernmental Panel on Climate Change and in 2008 by Chairman Mary Nichols for contributions to the to the California Air Resources Board's Economic and Technology Advancement Advisory Committee on AB 32.

Fields of Specialization:
Energy/Environmental Policy Analysis, Strategic Planning

Interests:
Overall goal is to accelerate the use of systems models at state, country, and global scales, aiming to provide the best available information and insights to government and private-sector decision makers. Specific areas include energy, climate change, and sustainable development policy, including emerging technologies and market design alternatives. Draws on concepts and techniques from science and engineering fundamentals (e.g., thermodynamics, fluid mechanics, materials science, and electrical power systems), operations research, economics, finance, and decision theory.

Steven Whang

Visiting Associate Professor, Computer Science

BioSteven E. Whang is a Visiting Associate Professor at Stanford University, Computer Science (host: Prof. Christopher Ré). He is an Associate Professor with Tenure at KAIST Electrical Engineering and jointly affiliated with the Kim Jaechul Graduate School of AI. His research interests include Data-centric AI and Responsible AI. He is an Associate Editor of IEEE TKDE (2023-2025) and VLDB (2026, 2025), and an Area Chair of ICLR 2025. Previously he was a Research Scientist at Google Research and co-developed the data infrastructure of the TensorFlow Extended (TFX) machine learning platform. Steven earned his PhD in Computer Science in 2012 from Stanford University under Prof. Hector Garcia-Molina. He is a Y-KAST (Young Korean Academy of Science and Technology) member, was a Kwon Oh-Hyun Endowed Chair Professor (2020-2023), and received a Google AI Focused Research Award (2018, the first in Asia). Homepage: https://stevenwhang.com