Steven Wu

Assistant Professor
Computer Science & Engineering
University of Minnesota


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

I am an Assistant Professor of Computer Science & Engineering at the University of Minnesota. 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 Morris and Dorothy Rubinoff Award for best thesis. Before joining the UMN, I spent a year as a post-doctoral researcher at Microsoft Research-New York City in the Machine Learning and Algorithmic Economics groups.

I work on algorithms and machine learning. My recent work focuses on (1) how to make machine learning better aligned with societal values, especially privacy and fairness, and (2) how social and economic interactions influence machine learning. I study these questions using methods and models from machine learning, statistics, optimization, differential privacy, game theory, and mechanism design.

My research has been generously supported by the National Science Foundation (NSF), an NSF and Amazon Award on Fairness in AI, a Google Faculty Research Award, a J.P. Morgan Faculty Award, a Facebook Research Award, and a Mozilla Research Grant.

Please see my CV and publications for more details.


NEWS

Dec 2019

One NSF proposal awarded (as PI) in the NSF Program on Fairness in Artificial Intelligence (FAI) in Collaboration with Amazon.

Oct 2019

I gave a tutorial on "Differential Privacy Techniques Beyond Differential Privacy" at the FOCS workshop "A TCS Quiver".

Sep 2019

Two NSF proposals awarded: NSF EAGER grant (as UMN PI) and NSF CHS grant (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

Jan 2019


TEACHING

Spring 2020

Fall 2019

Fall 2018


SERVICE

Program Committee Member

ICML 2020 (area chair)
ICLR 2020 (area chair)
FORC 2020
FAT* 2019 (track co-chair)
TheWebConf 2020, 2018
EC 2020, 2019, 2018
TPDP 2019
NIPSML4H18
HAI-GEN 2020

Other

During my undergraduate, I was involved in the Bard Prison Initiative as a math tutor at the New York Eastern Correctional Facility. Check out this amazing four-part documentary film series, College Behind Bars, about this initiative.

Workshop Organizer

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