Stanford University
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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. -
Dr. Zhiyong Wang
Visiting Scholar, Genetics
BioDr. Wang is the acting director of the Department of Plant Biology, Carnegie Institution for Science, and a professor by courtesy of the Department of Biology, Stanford University. He is currently an associate editor of Molecular Cellular Proteomics, and editorial board member of Molecular Plant. He is a Fellow of the American Association for the Advancement of Science (AAAS) and recipient of the Humboldt Research Prize.
Dr. Wang obtained his Ph.D. in 1998 from UCLA, where he cloned the plant circadian clock gene CCA1. He did his postdoctoral research at the Salk Institute, where he studied the brassinosteroid signaling mechanism mediated by the BRI1 receptor kinase. Since joining Carnegie in 2001, his research has illustrated the receptor kinase signaling pathway that links the BRI1 receptor kinase to the BZR1 transcription factor and brassinosteroid-responsive genes in the Arabidopsis genome. He further demonstrated how the steroid signaling pathway integrates at the molecular level with other hormonal pathways, light signaling pathways, nutrient-sensing pathways, immunity pathways, and the circadian clock, to coordinately regulate plant growth and development. His lab uses combinations of genomic and proteomic approaches to understand how cellular signals are transduced and integrated through posttranslational modifications (e.g. phosphorylation and O-Glycosylation) and protein-protein interactions. His studies are elucidating the molecular mechanisms that control plant growth and mediate responses to environmental changes.
