Hi, I am an Assistant Professor at the Department of Statistics at the University of Michigan, Ann Arbor. My research interests are federated / distributed statistical learning, high-dimensional statistics, robust statistics and missing data.

Prior to UMich, I was a research associate at the Statistical Laboratory at the University of Cambridge, hosted by Professor Richard Samworth. I obtained my Ph.D. degree at the Department of Operations Research and Financial Engineering (ORFE) at Princeton University, advised by Professor Jianqing Fan. I did my undergraduate study at the Special Class of Gifted Young at the University of Science and Technology of China (USTC).

My recent research focus is on best subset selection and communication-efficient statistical learning algorithms. I appreciate the funding support from NSF DMS 2015366, for which I serve as the solo PI.

  • A new arXiv release (joint work with Michael Law, Ya'acov Ritov and Ruixiang Zhang): Rank-constrained least squares: Prediction and inference. This work establishes a near-optimal in-sample prediction error bound of the rank-constrained least squares estimator with no incoherence or restricted strong convexity assumption. (Dec, 2021)
  • Congratulations to Saptarshi Roy on passing the PhD prelim! (Sep, 2021)
  • A new arXiv release (joint work with Shihao Wu): On the early solution path of best subset selection. (Jul, 2021)
  • Yumeng Wang (from USTC) and Shihao Wu (from Fudan University), who did summer internship with me in 2020, will join the statistics PhD program of UMich this coming fall. Welcome Yumeng and Shihao! (Apr, 2021)
  • The online judge system I built with my students for STATS 415: Data Mining entered the finalist of 2021 Provost Teaching Innovation Prize. Many thanks to the student development team: Kevin Huang, Elsa Yang, Yingcong Jiang, Shijia Li, Isabella Qiao, Haoyi Qiu, Sijia Du, Youjia Wu and Moritz Korte-Stapff. (Feb, 2021)
  • Office: Room 458, 1085 S Univeristy Ave, Ann Arbor, MI 48109
    Email: ziweiz@umich.edu