School of Engineering
Showing 1-10 of 12 Results
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Yinbin Han
Ph.D. Student in Management Science and Engineering, admitted Autumn 2025
BioYinbin Han is a Ph.D. student in the Department of Management Science and Engineering at the Stanford University. Before joining Stanford, Yinbin was a Ph.D. student in the Department of Finance and Risk Engineering at the New York University from 2024 - 2025 and in the Epstein Department of Industrial and Systems Engineering at the University of Southern California from 2021 - 2024. Yinbin is fortunate to be co-advised by Prof. Renyuan Xu (Stanford) and Prof. Meisam Razaviyayn (USC). Yinbin obtained his B.S. in Mathematics from the Chinese University of Hong Kong, Shenzhen, where he was advised by Prof. Zizhuo Wang. Yinbin's research interests include diffusion models, reinforcement learning, stochastic control and nonconvex optimization.
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Kent Hippler
Ph.D. Student in Management Science and Engineering, admitted Summer 2025
BioKent Hippler is a PhD student in the Decision and Risk Analysis (DARA) Group in Stanford's Department of Management Science and Engineering, advised by Dr. Elisabeth Paté-Cornell. His current research focuses on risk attitudes in AI Decision Support Systems.
Prior to pursuing his PhD, Kent served as a Nuclear Surface Warfare Officer in the U.S. Navy, supporting three western Pacific deployments aboard the USS Anchorage and USS Theodore Roosevelt. He later worked as a Systems Engineer at Maxar Technologies and a Software Engineer at Amazon. Kent holds a B.S. in Nuclear Engineering, summa cum laude, from the University of Florida (2016) and an M.S. in Management Science and Engineering from Stanford (2025), where he worked with the Language Data and Reasoning Lab under the advisement of Dr. Amin Saberi. -
Andrew Hong
Masters Student in Management Science and Engineering, admitted Autumn 2022
BioI study the intersection of machine learning and social sciences to better align tech with society and use computational methods to understand human behavior. My research focuses on building software and statistical methods to quantify fairness of various electoral voting systems. Now, I'm a Machine Learning Analyst in Google's Trust & Safety Team while finishing my Masters in Management Science & Engineering.
MS: Management Science & Engineering, concentration in computational social sciences
BA: Data Science & Social Systems, concentration in socio-political behavior analysis
