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.
- 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.