Jerry Li is a research scientist in the Machine Learning and Optimization Group at Microsoft Research Redmond. In Fall 2018, he was the VMware Research Fellow at the Simons Institute. He did his Ph.D. at MIT, where he worked with Ankur Moitra. He also did his masters at MIT under Nir Shavit. Jerry's primary research interests are in learning theory and distributed algorithms, but he is broadly interested in many other things in TCS, particularly like applications of analysis and analytic techniques to TCS problems. As an undergrad at the University of Washington, he worked on complexity of branching programs, and how to prove hardness of techniques used for naturally arising learning problems in database theory and AI.
- Foundations of Data Science, Fall 2018. VMware Research Fellow.