Jason Dou is a PhD student in Operations Research at University of Colorado Boulder. He currently works on approximate algorithms for healthcare operations with Professor Manuel Laguna and Professor Dan Zhang. He is also broadly interested in computational social science, deep learning, and natural language processing. He is addicted to reading mathematics proofs, writing algorithms, and cultivating next generation of leading scholars and engineers who can change the world in influential research projects. His undergraduate colleagues have been placed to top PhD program in Computer Science and competitive industry research lab. A computer scientist by training, recently he also gets interested in understanding people. He is a member of INFORMS and ACM.
He got his B.S in Computer Science from Peking University with thesis on "A Markov Chain Approach to the "Gerrymandering Problem"" supervised by Professor Danny Sleator and Professor Alan Frieze at Carnegie Mellon University. He was a graduate student at Information Science Department, Cornell University, an exchange student at University of Hong Kong supported by Fung Scholarship, a member of ITCSC-INC winter school 2013 at Chinese University of Hong Kong under Turing Award Winner Andrew Yao, and an alumni of Ipodia Program led by Professor Stephen Lu at University of Southern California.
He worked on Artificial Intelligence startups in New York City and Beijing before coming to Boulder, where he enjoys the sunshine and the Rockies. He thinks the only drawback of Boulder is that it's far from the beach.