Assistant Professor
Computer Science & Engineering
University of Minnesota
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.
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.
June 2019
One paper accepted at FOCS'19.
April 2019
One paper accepted at EC'19.
April 2019
Three papers accepted at ICML'19.
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.