Kevin is a final-year Ph.D. student with the Theory Group in Computer Science at Stanford, advised by Aaron Sidford. He completed undergraduate studies in Computer Science and Math at MIT from 2012-2015. He is broadly interested in fundamental algorithmic problems in modern data science, often at the intersection of continuous optimization and high-dimensional statistics.
- Geometric Methods in Optimization and Sampling, Fall 2021. VMware Research Fellow.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Graduate Student.