Kevin Tian is a fourth year PhD student with the Theory Group in Computer Science at Stanford, advised by Aaron Sidford. He is broadly interested in the interplay between continuous optimization and algorithm design in areas such as spectral graph theory, stochastic processes, high-dimensional statistics, convex geometry, and machine learning. Kevin completed his undergraduate studies in computer science and math at MIT from 2012 to 2015.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Visiting Graduate Student.