Stanford University
Showing 5,451-5,500 of 6,043 Results
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Max Weinacht
Undergraduate, School of Engineering
BioUndergraduate – Class of 2028
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Itschak Weissman
Robert and Barbara Kleist Professor in the School of Engineering
BioTsachy's research focuses on Information Theory, Data Compression and Communications, Statistical Signal Processing, Machine Learning, the interplay between them, and their applications, with recent focus on applications to genomic data compression and processing. He is inventor of several patents and involved in several companies as member of the technical board. IEEE fellow, he serves on the board of governors of the information theory society as well as the editorial boards of the Transactions on Information Theory and Foundations and Trends in Communications and Information Theory. He is founding Director of the Stanford Compression Forum.
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Wendy Wenderski
Postdoctoral Scholar, Bioengineering
Current Research and Scholarly InterestsMolecular mechanisms of chromatin remodeling by the BAF complex.
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Gordon Wetzstein
Associate Professor of Electrical Engineering and, by courtesy, of Computer Science
BioGordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems. Prof. Wetzstein is a Fellow of Optica and the recipient of numerous awards, including an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, an Electronic Imaging Scientist of the Year Award, an Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.
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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, Professor of Energy Science & 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
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Eric Wheeler
Systems and Web Developer, Electrical Engineering
Current Role at StanfordSystems and Web Developer, Electrical Engineering
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Phillip Wickham
Adjunct Lecturer, Design Courses
Bio“Of the 10,000 start-ups we studied, 65% died because of dysfunctional human dynamic.” - Noam Wasserman (Founder’s Dilemma), HBS
Phil Wickham believes that a leader's energy and its impact on organizational culture is under-appreciated for its role in successful innovation.
Phil is Co-Founder and Executive Managing Director of Sozo Ventures, a $1.7-billion venture fund with offices in Redwood City and Tokyo. Sozo has, for over 15 years, invested in disruptive data science start-ups with global ambitions, specifically supporting them with early, intelligent engagement with Japanese markets. Notable successes include Palantir, Twitter (X), Square, MongoDB, Coinbase, Zoom, ChorusAI and Fastly. Sozo is also an early investor in Applied Intuition, Anduril, Saronic, Grammarly, Deel, Chainalysis, Need, Molten, Mercy Bio, Yellow Card and Carbon Robotics.
Phil is emeritus CEO and Chairman of the Kauffman Fellows. Over 30 years, he’s shepherded the development of nearly 1000 emerging leaders in venture capital in more than 60 countries. During his tenure, more than 300 new venture funds were created from within the Kauffman global community. He also helped conceive, staff and seed-fund TrueBridge Capital Partners (FoF), as well as The Kauffman Fellows Fund (direct), and is an emeritus advisor to the Creandum Fund in Stockholm, Angular Ventures in London/Tel Aviv, Taro Ventures in Tokyo, Frontline Ventures in Dublin and MaC Ventures in LA.
From 2018-2022, Phil taught capital formation at Waseda University as a Visiting Professor. In 2024, he co-founded the 11KS Foundation in Japan to promote innovation education. Phil has also published two #1 best-sellers in Japan on capital formation for startups and writes regularly for publications there.
He was raised on hockey rinks in Upstate New York, and has been playing competitive tennis for longer than he cares to admit. He is an avid collector of antique maps—a passion passed down by his father—and often invokes the parable of the “Island of California” to reinforce the importance of good inquiry and challenging assumptions. He is the proud father of two daughters, the youngest of three children and a screaming Enneagram Type 7.
University of Arizona, BSME, 1987
Rensselaer, MBA, 1994
Kauffman Fellows, 1997 -
Jennifer Widom
Frederick Emmons Terman Dean of the School of Engineering, Fletcher Jones Professor of Computer Science and Professor of Electrical Engineering
BioJennifer Widom is the Frederick Emmons Terman Dean of the School of Engineering and the Fletcher Jones Professor in Computer Science and Electrical Engineering at Stanford University. She served as Computer Science Department Chair from 2009-2014 and School of Engineering Senior Associate Dean from 2014-2016. Jennifer received her Bachelor's degree from the Indiana University Jacobs School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering and the American Academy of Arts & Sciences; she received a Guggenheim Fellowship in 2000, the ACM SIGMOD Edgar F. Codd Innovations Award in 2007, the ACM-W Athena Lecturer Award in 2015, and the EPFL-WISH Foundation Erna Hamburger Prize in 2018.
