Management Science and Engineering
Showing 521-530 of 552 Results
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Renyuan Xu
Assistant Professor of Management Science and Engineering
BioRenyuan Xu is an assistant professor of Management Science and Engineering (MS&E) at Stanford University. Prior to joining Stanford, she held positions at New York University (2024-2025) and the University of Southern California (2021–2024), and was a Hooke Research Fellow at the Mathematical Institute, University of Oxford (2019–2021). She received her Ph.D. in Operations Research from the University of California, Berkeley in 2019. Renyuan's current research interests include mathematical finance, stochastic analysis, stochastic controls and games, and machine learning theory. She received an NSF CAREER Award in 2024, the SIAM Activity Group on Financial Mathematics and Engineering Early Career Prize in 2023, and two JP Morgan AI Faculty Research Awards in 2022 and 2025.
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Wenhao Yang
Postdoctoral Scholar, Management Science and Engineering
BioWenhao Yang is a postdoctoral researcher in the Department of Management Science and Engineering (MS&E) at Stanford University, advised by Professor Jose Blanchet. He received his Ph.D. in Data Science (Statistics) from Peking University in 2023 and his B.S. in Statistics from the School of Mathematical Sciences at Peking University in 2018.
Wenhao’s research interests lie at the intersection of probability, statistics, and machine learning, with applications in operations research, reinforcement learning, and deep learning. His work focuses on developing modern statistical theory for large-scale models and designing practical algorithms with rigorous theoretical guarantees. His research has contributed to publications in leading venues including Annals of Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, ICML, NeurIPS, ICLR, AISTATS, with additional papers currently under revisions at Annals of Applied Probability.
For more details, please visit Wenhao’s personal website: https://web.stanford.edu/~yangwh/ -
Yinyu Ye
Kwoh-Ting Li Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsMy current research interests include Continuous and Discrete Optimization, Algorithm Development and Analyses, Algorithmic Game/Market Theory and Mechanism-Design, Markov Decision Process and Reinforcement Learning, Dynamic/Online Optimization and Resource Allocation, and Stochastic and Robust Decision Making. These areas have been the unique and core disciplines of MS&E, and extended to new application areas in AI, Machine Learning, Data Science, and Business Analytics.
