David Tse | |
Nationality: | Canadian |
Field: | Information theory |
Alma Mater: | University of Waterloo MIT |
Thesis Title: | Variable-rate lossy compression and its effects on communication networks |
Thesis Year: | 1995 |
Thesis Url: | https://dspace.mit.edu/bitstream/handle/1721.1/11847/32888836-MIT.pdf |
Doctoral Advisor: | Robert G. Gallager John Tsitsiklis |
David Tse is the Thomas Kailath and Guanghan Xu Professor of Engineering at Stanford University.[1]
Tse earned a B.S. in systems design engineering from University of Waterloo in 1989, an M.S. in electrical engineering from the Massachusetts Institute of Technology in 1991, and a Ph.D. in electrical engineering from MIT in 1994.[2] As a postdoctoral student he was a staff member at AT&T Bell Laboratories.[2]
Tse's research at Stanford focuses on information theory and its applications in fields such as wireless communication, machine learning, energy and computational biology.[3] [4] He has designed assembly software to handle DNA and RNA sequencing data and was an inventor of the proportional-fair scheduling algorithm for cellular wireless systems.[4] He received the 2017 Claude E. Shannon Award.[3] In 2018, he was elected to the National Academy of Engineering.[4]