Stanford University
Showing 461-480 of 1,568 Results
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Yiyu Wang
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Yiyu Wang is a T32 postdoctoral researcher at the Department of Anesthesiology, Stanford School of Medicine. Her research combines computational models and neuroimaging techniques to characterize the neural architecture underlying complex human experiences in emotion and pain. Her current work focuses on leveraging deep learning, foundation models, and explainable AI to improve neuroimaging-based markers as well as multi-modal markers of chronic pain.
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Yuan Wang
Assistant Professor of Earth System Science and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioYuan Wang is an Assistant Professor in the Department of Earth System Science at the Stanford Doerr School of Sustainability. He is also a Center Fellow in the Woods Institute for the Environment. Prior to joining Stanford, he was an Associate Professor at Purdue University and a research scientist at California Institute of Technology. His research group aims to advance the understanding of the physical and chemical interactions between atmospheric constituents and climate change. Specifically, his group conducts research related to aerosol-cloud-radiation interactions and their climatic implications, aerosol properties and haze formation, cloud and precipitation microphysics, and the assessment of the greenhouse gas and aerosol forcings on the atmosphere, ocean, and cryosphere. They develop and use multiscale numerical and AI models in combination with space-borne and in situ measurements to address those scientific questions. Yuan is a recipient of the James B. Macelwane Medal and James R. Holton Award from the American Geophysical Union, the Henry G. Houghton Award from the American Meteorological Society, and the CAREER Award from National Science Foundation.
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Yuyan Wang
Assistant Professor of Marketing at the Graduate School of Business
BioYuyan Wang is an assistant professor of marketing and Kevin J. O’Donohue Family Faculty Scholar for 2024–2025 at Stanford Graduate School of Business. With over six years of industry experience at Google DeepMind and Uber as a machine learning researcher, she has designed algorithms for understanding and improving the long-term values of recommender systems, many of which have been deployed globally in multiple products at Google and Uber Eats. Her background is in statistics, with a PhD from the Department of Operations Research & Financial Engineering (ORFE) at Princeton University and a BSc from the Special Class for the Gifted Young at the University of Science of Technology of China. She has received the Steven Shugan Best Junior Faculty Paper Award at the AI in Management Conference (AIM) in 2025, and the Best Paper Award at the Conference on Information Systems and Technology (CIST) in 2022.
At Stanford GSB, Wang created and taught Understanding AI Technologies for Business Problems, the school’s first technical MBA course on AI.
