Teaching Assistant UChicago

  • STAT 234: Statistical Models and Method
    Instructor: Yali Amit, Linda Brant Collins

  • STAT 244: Statistical Theory and Method I
    Instructor: Zheng (Tracy) Ke

  • STAT 245: Statistical Theory and Method II
    Instructor: Mei Wang

  • STAT 315: Stochastic Simulation
    Instructor: Daniel Sanz-Alonso

  • STAT 376: Machine Learning and Large-Scale Data Analysis
    Instructor: Yali Amit


I am currently coordinating a group of graduate students across UChicago and UC Berkeley with Mladen Kolar, Mihai Anitescu, Michael Mahoney. In this role, I have the privilege of mentoring several highly motivated junior students from diverse backgrounds on various topics in statistics and optimization.

Xiaoran ChenStat, MSUChicagoModel-free real-time control
Yang ChuStat, PhDUCBInference of second-order methods
Yuchen FangCAM, MSUChicagoConstrained stochastic optimizationPhD, UC Berkeley
Yihang GaoMath, PhDHKUInference of second-order methods
Ilgee HongStat, MSUChicagoMachine learning with constraintsPhD, Georgia Tech
Simiao JiaoStat, MSUChicagoInference of second-order methodsPhD, Duke
Wei KangStat, PhDUChicagoCovariance matrix estimation
Miao LiCAM, MSUChicagoManifold optimizationPhD, Georgia Tech
Heming LiuStat, MSUChicagoGraphical modelsPhD, Northwestern
Xiaoyu NiuMath, PhDUCBRandomized numerical linear algebra

Referee Service

I have served as a referee for several prestigious journals in the fields of mathematics and statistics, including:

  • Journal of Computational and Graphical Statistics
  • Mathematical Programming
  • SIAM Journal on Optimization
  • Mathematics of Operations Research
  • IMA Journal of Numerical Analysis
  • Journal of Machine Learning Research
  • Electronic Journal of Statistics
  • Statistics & Probability Letters

I also actively serve as a reviewer for various machine learning conferences, such as NeurIPS, ICML, ICLR, IJCAI, AIStats, and more.