Nika Haghtalab

Nika Haghtalab is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. Nika works broadly on the theoretical aspects of machine learning and algorithmic economics. She especially cares about developing a theory for machine learning that accounts for its interactions with people and organizations, and the wide range of social and economic limitations, aspiration, and behavior they demonstrate.

Program Visits

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

Modern Paradigms in Generalization, Fall 2024, Visiting Scientist

Special Year on Large Language Models and Transformers, Part 1, 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