• Email:
    zsw [at] umn.edu

About Me

My name is Zhiwei Steven Wu (吴志威). I am currently a post-doctoral researcher at Microsoft Research-New York City (MSR-NYC). I recently 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.

I am broadly interested in algorithms and machine learning, especially in the areas of privacy-preserving data analysis, fairness in machine learning, and algorithmic economics.

My CV can be found here.

Starting in fall 2018, I will be joining the University of Minnesota as an Assistant Professor in the Computer Science & Engineering Department, and I am currently looking for self-motivated and mathematically mature PhD students!

News

  • November, 2017 - How can we conduct fairness auditing on an algorithm? How do we ensure fairness in a classifer? See our new preprint on subgroup fairness and also Aaron Roth's excellent blog post.
  • November, 2017 - Our paper on competion between learning algorithms will appear at ITCS'2018.
  • October, 2017 - Our preprint on strategic classification is now available.
  • September, 2017 - Our paper on an "accuracy-first" approach to differential privacy will appear at NIPS'2017.
  • June, 2017 - Starting in fall 2018, I will be joining the University of Minnesota as an Assistant Professor in the Computer Science & Engineering Department.
  • June, 2017 - I defended my thesis and received the 2017 Morris and Dorothy Rubinoff Dissertation Award!

Manuscripts

(Unless specified otherwise, authors are listed in alphabetical order.)

Publications

Services

Program Committees: WWW 2018, ICML 2017

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