Yi Li received his PhD from the University of Michigan in 2013. His main research interests lie in algorithms for massive datasets and sub-linear time streaming algorithms. Li is particularly interested in sparse recovery problems. He also does research in applied probability and geometric functional analysis.
- Theoretical Foundations of Big Data Analysis, Fall 2013. Research Fellow (joint with MPI Saarbrücken).