Steven Wu

Assistant Professor
Computer Science & Engineering Department
University of Minnesota

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


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. My doctoral dissertation received Penn's Rubinoff award for innovative applications of computer technology.

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.

My research has been generously supported by the National Science Foundation, a Google Faculty Research Award, a J.P. Morgan Faculty Award, a Facebook Research Award, and a Mozilla Research Grant.

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


Sep, 2019

Two NSF proposals awarded: NSF EAGER grant #1927166 (as UMN PI) and NSF CHS grant #1908688 (as co-PI).

Sep, 2019

Four papers accepted at NeurIPS'19.

July, 2019

June, 2019

One paper accepted at FOCS'19.

April, 2019

One paper accepted at EC'19.

April, 2019

Three papers accepted at ICML'19.

Feb, 2019

Feb, 2019


Fall 2019

Fall 2018


Program Committees

ICLR 2020 (area chair)
FAT* 2019 (track co-chair)
TheWebConf 2020, 2018
EC 2019, 2018
ICML 2018, 2017
TPDP 2019
AAAI 2019


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


Recent Developments in Research on Fairness. The Simons Institute for the Theory of Computing, Berkeley, CA. July 8-10, 2019.