Assistant Professor
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley
My mission is to build theory and tools that make the practice of machine learning across science and industry more robust, reliable, and aligned with societal values.

Email: hardt_at_berkeley_dot_edu (Note: I do not have any internship positions).

Teaching:
– Spring 2018: EE 227C Convex Optimization and Approximation
– Fall 2017: CS 294 Fairness in Machine Learning

(Co-)Advisees: John Miller, Smitha Milli, Lydia T. Liu, Yu Sun, Tijana Zrnic

Former interns and long-term visitors: Yair Carmon (Stanford), Chiyuan Zhang (MIT), Roy Frostig (Stanford), Tengyu Ma (Princeton), Eric Price (UT Austin), Mary Wootters (U Michigan)

Activities:
– Co-founder and co-organizer of FATML (Workshop on Fairness, Accountability, and Transparency in Machine Learning)
– NIPS 2015 Workshop on Adaptive Data Analysis
Visiting Scientist at the Simons Institute for Theoretical Computer Science (Fall 2013)

Editorships: JMLR (action editor), Theory of Computing, SICOMP Special Issue for FOCS 2013
Program Committees: NIPS 2017 (area chair), ICML 2017 (area chair), COLT 2017, NIPS 2016 (area chair), ICML 2016 (area chair), ITCS 2015, STOC 2014, FOCS 2013, STOC 2013, ICALP 2012

Twitter: @mrtz Blogs: Moody Rd, Off the convex path

Miscellaneous: I cycle sometimes. You can follow me on Strava.

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