Nika Haghtalab

Assistant Professor, UC Berkeley
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
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
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program
Modern Paradigms in Generalization
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program
Special Year on Large Language Models and Transformers, Part 1
visiting
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