Steven Wu
Assistant Professor
School of Computer Science
Carnegie Mellon University
Email: zstevenwu [at] cmu.edu
Office: TCS Hall 424
I am an Assistant Professor in
the School of Computer
Science at Carnegie
Mellon University, with my primary appointment in the
Institute for Software
Research (in
the Societal
Computing program), and affiliated appointments with
the Machine Learning
Department and
the Human-Computer
Interaction Institute. I am also affiliated
with the CyLab and
the Theory
Group.
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 to make machine
learning more reliable and robust when algorithms interact with
social and economic dynamics. I study these questions using
methods and models from learning theory, optimization,
statistics, differential privacy, game theory, mechanism
design, and human-computer interaction. For more details,
please see
my publications.
My research has been generously supported by
the National
Science Foundation
(NSF), the Okawa Foundation, an
Amazon Research Award,
a Google
Faculty Research
Award,
a
J.P. Morgan Faculty
Award,
Facebook Research awards,
a Mozilla
Research Grant, and
Cisco
Research.
Previously, I received a Ph.D. in Computer Science in 2017
from the University of
Pennsylvania, where I was extremely fortunate to have
been co-advised
by Michael
Kearns and Aaron
Roth. My doctoral dissertation titled "Data Privacy
Beyond Differential Privacy" received Penn's Morris and
Dorothy Rubinoff Award for best thesis. Before joining CMU,
I was an Assistant Professor
of Computer
Science & Engineering at
the University of
Minnesota for two years. Before that, I spent a year as
a post-doctoral researcher
at Microsoft Research-New York
City in
the Machine Learning
and Algorithmic Economics groups. Please see
my CV for more details.