Moritz Hardt

Assistant Professor
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley

Please use this short bio and picture for announcements.

Email: hardt_at_berkeley_dot_edu

Publications

• See Google Scholar for papers and preprints.
• An upcoming textbook on Fairness and Machine Learning with Solon Barocas and Arvind Narayanan

Students and postdocs

• Lydia T. Liu
• John Miller
• Smitha Milli
• Juan C. Perdomo
• Ludwig Schmidt (postdoc)
• Yu Sun
• Tijana Zrnic

Group picture (2017)

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)

Teaching

• Spring 2019: CS 294 Machine Learning in Social Dynamics
• Fall 2018: CS 189 Introduction to Machine Learning
• Spring 2018: EE 227C Convex Optimization and Approximation
• Fall 2017: CS 294 Fairness in Machine Learning

Activities

• Co-founder and co-organizer of FATML (Workshop on Fairness, Accountability, and Transparency in Machine Learning)
• Co-founder and co-organizer of the Workshop on Adaptive Data Analysis
• Action editor for JMLR, editor for Theory of Computing

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