Nika Haghtalab

Assistant Professor,

UC Berkeley

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, artificial intelligence, and computational economics. She received her Ph.D. from the Computer Science Department of Carnegie Mellon University, where her thesis won the CMU School of Computer Science Dissertation Award (ACM nomination) and the SIGecom Dissertation Honorable Mention. She is a co-founder of Learning Theory Alliance (LeT-All). Among her honors are an NSF CAREER award, Sloan fellowship, Schmidt Sciences AI2050 fellowship, NeurIPS and ICAPS best paper awards, an EC exemplary in AI track award, and several industry awards and fellowships.

Program Visits

Federated and Collaborative Learning, Spring 2026, Visiting Scientist and Program Organizer

Special Year on Large Language Models and Transformers, Part 1, Fall 2024, Visiting Scientist

Modern Paradigms in Generalization, Fall 2024, Visiting Scientist

Sublinear Algorithms, Summer 2024, Visiting Scientist

Data-Driven Decision Processes, Fall 2022, Visiting Scientist

Learning and Games, Spring 2022, Visiting Scientist

Computational Complexity of Statistical Inference, Fall 2021, Visiting Scientist

Theory of Reinforcement Learning, Fall 2020, Visiting Scientist

Probability, Geometry, and Computation in High Dimensions, Fall 2020, Visiting Scientist