• Email: zsw [at] umn.edu
  • 6-225E Keller Hall
  • 200 Union Street SE
  • Minneapolis, MN 55455

About Me

My name is Zhiwei Steven Wu. I am an Assistant Professor at the University of Minnesota in the Computer Science & Engineering Department. I spent a year as a post-doctoral researcher at Microsoft Research-New York City. Before that, I received my PhD in Computer Science from the University of Pennsylvania, where I was extremely fortunate to have been co-advised by Michael Kearns and Aaron Roth.

I am broadly interested in algorithms and machine learning, especially in the areas of privacy-preserving data analysis, fairness in machine learning, and algorithmic economics.

My CV can be found here.

I am currently looking for self-motivated and mathematically mature PhD students!


  • October, 2018 - One paper accepted at FAT*'19.
  • September, 2018 - Our paper on a smoothed analysis of the greedy algorithm for the linear contextual bandit problem was accepted for a spotlight at NIPS'18.
  • Aug, 2018 - I will be teaching a special topics course on differential privacy this fall!
  • July, 2018 - I will be serving as a Statistic/ML track chair at FAT* 2019. Submit your best work!
  • May, 2018 - Two papers accepted to ICML'18!
  • May, 2018 - One paper accepted to COLT'18!
  • April, 2018 - Our paper on strategic classification is accepted to EC'18.
  • November, 2017 - Our paper on competion between learning algorithms will appear at ITCS'18.
  • September, 2017 - Our paper on an "accuracy-first" approach to differential privacy will appear at NIPS'17.


(Unless specified otherwise, authors are listed in alphabetical order.)




Program Committees: EC 2019, FAT* 2019 (track co-chair), AAAI 2019, NPSML4H18, EC 2018, ICML 2018, WWW 2018, ICML 2017

During my undergraduate, I was involved in Bard Prison Initiative and serving as a math tutor in New York Eastern Correctional Facility.