Bio

Yinbin 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.

Education & Certifications

  • Ph.D. Student, New York University, Finance and Risk Engineering (2025)
  • Ph.D. Student, University of Southern California, Industrial and Systems Engineering (2024)
  • B.S., The Chinese University of Hong Kong, Shenzhen, Applied Mathematics (2021)

Contact

  • Academic
    yinbinha@stanford.edu
    University - Student Department: Management Science and Engineering Position: Graduate

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