Yuting Wei


Assistant Professor
Wharton Statistics Department

ytwei (at) wharton (dot) upenn (dot) edu
Statistics & Data Science,
Academic Research Building,
University of Pennsylvania,
Philadelphia, PA 19104

About Me

I am currently an Assistant Professor in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania.

Before joining the University of Pennsylvania, I was an Assistant Professor in the Department of Statistics and Data Science at Carnegie Mellon University, and I spent a year as a Stein's Fellow at Stanford Statistics Department. I got my Ph.D. in Statistics at Berkeley Statistics Department advised by two amazing supervisors Martin Wainwright and Aditya Guntuboyina; I was also associated with the Berkeley Artificial Intelligence Research group (BAIR).

My research interests lie broadly in the span of statistics, optimization and machine learning. More specifically, I have been developing methods appropriate for valid inference with high dimensional and structured data, and understanding the sample efficiency in reinforcement learning. I am also interested in problems arising from the interplay between statistical accuracy and computational properties.

Here is a current copy of my CV.


I am currently looking for students and postdocs interested in high dimensional statistics and machine learning. Please email a CV to apply.


  • I recieved the 2022 NSF CAREER Award.

  • I will present a tutorial at ICASSP 2022 on “Reinforcement Learning: Fundamentals, Algorithms, and Theory”, joint with Yuejie Chi and Yuxin Chen, May 2022.


  • Stanford University, Stein's Fellow / Lecturer, 2018 - 2019

  • University of California, Berkeley: Ph.D. in Statistics, 2013 - 2018

  • Peking University: Bachelor of Science (B.S.) Statistics, 2009 - 2013

  • Peking University: Bachelor of Arts (B.A.) Economics, 2010 - 2013


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