Ming Yu

Ming Yu

PhD (2016-2020)

Citadel Securities

Ming received his PhD in Econometrics and Statistics at University of Chicago, Booth School of Business in March 2020. His research interests include high dimensional statistical inference, non-convex optimization, and reinforcement learning, with a focus on developing novel methodologies with both practical applications and theoretical guarantees.

Personal Website

  • Machine Learning
  • High-dimensional statistical inference
  • Nonconvex optimization
  • Reinforcement learning
  • Network models and information diffusion
  • PhD in Econometrics and Statistics, 2020

    University of Chicago Booth School of Business

  • MS in Statistics, 2016

    University of Chicago

  • BS in Mathematics, 2014

    Peking University