Computer Science & Engineering Department
University of Minnesota
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!
Two NSF proposals awarded: NSF EAGER grant #1927166 (as UMN PI) and NSF CHS grant #1908688 (as co-PI).
Four papers accepted at NeurIPS'19.
I received a Mozilla Research Grant.
One paper accepted at FOCS'19.
One paper accepted at EC'19.
Three papers accepted at ICML'19.
I received a Google Faculty Research Award.
I received a J.P. Morgan Faculty Award.
ICLR 2020 (area chair)
FAT* 2019 (track co-chair)
TheWebConf 2020, 2018
EC 2019, 2018
ICML 2018, 2017
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.