Julian Shun 信哲文
I am an associate professor at MIT in
department and a principal investigator in CSAIL
. Prior to
that, I was a Miller Research Fellow
at UC Berkeley working with Michael Mahoney. I obtained
my Ph.D. from Carnegie Mellon University, and was advised by Guy Blelloch.
I am interested in the theory and practice
of parallel and high-performance computing. I work on designing efficient algorithms and data structures with strong theoretical guarantees and good empirical performance. I also work on designing high-level programming frameworks that make it easier for programmers to write efficient parallel code.
Recent areas of interest include
graph analytics, spatial and graph clustering, computational geometry, and financial applications.