Steven Wu
Assistant Professor
Computer Science & Engineering Department
University of Minnesota
Assistant Professor
Computer Science & Engineering Department
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. 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.
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
I received a Mozilla Research Grant.
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
I received a Google Faculty Research Award.
Feb, 2019
I received a J.P. Morgan Faculty Award.
Jan, 2019
With Haiyi Zhu, we received the Facebook Mechanism Design for Social Good research award.
Fall 2019
Program Committees
ICLR 2020 (area chair)
FAT* 2019 (track co-chair)
TheWebConf 2020, 2018
EC 2020, 2019, 2018
ICML 2018, 2017
TPDP 2019
AAAI 2019
NIPSML4H18
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
Recent Developments in Research on Fairness. The Simons Institute for the Theory of Computing, Berkeley, CA. July 8-10, 2019.