Stanford Doerr School of Sustainability
Showing 161-170 of 183 Results
-
Diane Wade
RA, Research, Grants & Finance Manager, Energy Science & Engineering
BioDiane is a Research Finance Manager for the Department of Energy Science and Engineering at the Stanford Doerr School of Sustainability. In this role, she oversees finance, grant, and affiliate management, including faculty financial portfolios and sponsored grants through all stages, from pre-award to post-award. She collaborates with faculty on research proposals and provides training to new Research Administrators to enhance their understanding of complex financial and sponsored research processes. Previously, she managed department budgets and affiliate faculty appointments.
In addition, Diane served as Interim Diversity Officer for the Office of Diversity, Equity, and Inclusion, where she led strategic DEI initiatives and managed project finances during the Associate Dean’s leave.
Diane’s academic background spans advertising, art, and mechanical engineering, complemented by an internship at NASA focused on building flight simulators. She also holds an MBA with a specialization in Finance and Strategic Management. -
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. -
Siyuan (Simon) Xing
Visiting Associate Professor, Energy Science & Engineering
BioSiyuan (Simon) Xing is a Visiting Associate Professor in the Department of Energy Science & Engineering at Stanford University, hosted by Prof. Daniel Tartakovsky. He is also an Associate Professor of Mechanical Engineering Department at California Polytechnic State University (Cal Poly). His research focuses on nonlinear dynamics and scientific machine learning, with an emphasis on developing computational tools to uncover governing equations, predict complex patterns, and analyze bifurcations in nonlinear systems. His recent work explores interpretable neural networks to accelerate scientific discovery and advance our understanding of complex phenomena.
