Moritz Hardt

Research Expertise and Interest

machine learning, society, decision-making

Research Description

Moritz Hardt is an Associate Professor in the Department of Electrical Engineering and Computer Sciences. His research aims to make the practice of machine learning more robust, reliable, and aligned with societal values. After obtaining a PhD in Computer Science from Princeton University in 2011, Hardt was a postdoctoral scholar and research staff member at IBM Research Almaden, followed by two years as a research scientist at Google Research and Google Brain.

 

In the News

Seven early-career faculty win Sloan Research Fellowships

Seven assistant professors from the fields of astronomy, biology, computer science, economics and statistics have been named 2019 Sloan Research Fellows. They are among 126 scholars from the United States and Canada whose early-career achievements mark them as being among today’s very best scientific minds. Winners receive $70,000 over the course of two years toward a research project.