Steven Wu

Assistant Professor
Computer Science & Engineering Department
University of Minnesota


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

ABOUT ME

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. Please see my CV and publications for more details.

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.


NEWS

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 #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

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
ICML 2018, 2017
TPDP 2019
AAAI 2019
NIPSML4H18
HAI-GEN 2020

Other

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

Workshop Organizer

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