Jacob Steinhardt

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# Jacob Steinhardt

Assistant Professor,


UC Berkeley

[Website\\
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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](https://live-simons-institute.pantheon.berkeley.edu/programs/special-year-large-language-models-transformers-part-1), Fall 2024, Visiting Scientist

[Sublinear Algorithms](https://live-simons-institute.pantheon.berkeley.edu/programs/sublinear-algorithms), Summer 2024, Visiting Scientist

[Computational Complexity of Statistical Inference](https://live-simons-institute.pantheon.berkeley.edu/programs/computational-complexity-statistical-inference), Fall 2021, Visiting Scientist

[Probability, Geometry, and Computation in High Dimensions](https://live-simons-institute.pantheon.berkeley.edu/programs/probability-geometry-computation-high-dimensions), Fall 2020, Visiting Scientist

[Data Privacy: Foundations and Applications](https://live-simons-institute.pantheon.berkeley.edu/programs/data-privacy-foundations-applications), Spring 2019, Visiting Postdoc