Jacob Steinhardt

Assistant Professor, UC Berkeley

Jacob Steinhardt joined the Statistics faculty at UC Berkeley in the Fall of 2019, where he is also a member of the Berkeley Artificial Intelligence Lab and of the EECS department. He completed his PhD in machine learning at Stanford University working with Percy Liang.

Program Visits

Special Year on Large Language Models and Transformers, Part 1, Fall 2024, Visiting Scientist
Sublinear Algorithms, Summer 2024, Visiting Scientist
Computational Complexity of Statistical Inference, Fall 2021, Visiting Scientist
Probability, Geometry, and Computation in High Dimensions, Fall 2020, Visiting Scientist
Data Privacy: Foundations and Applications, Spring 2019, Visiting Postdoc
Website Opens new tab
program
Special Year on Large Language Models and Transformers, Part 1
visiting
–