Nika Haghtalab

• Year

  2023

• Program

  AI2050

• Institution

  University of California, Berkeley

• Field of Study

  Computer Science

• Location

  USA

Nika Haghtalab is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. She works broadly on the theoretical aspects of machine learning and algorithmic economics. Prof. Haghtalab’s work builds theoretical foundations for ensuring both the performance of learning algorithms in the presence of everyday economic forces and the integrity of social and economic forces that are born out of the use of machine learning systems. Among her honors are the CMU School of Computer Science Dissertation Award, SIGecom Dissertation Honorable Mention, NeurIPS and ICAPS best paper awards, and an EC exemplary paper in the AI track award. Prof. Haghtalab is a co-founder of Learning Theory Alliance (LeT-All), a first large-scale mentoring activity for the theory of machine learning community.