Y. Bryce Kim

Postdoctoral Associate
Department of Electrical Engineering and Computer Science
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Massachusetts Institute of Technology

32 Vassar Street D540, Cambridge, MA 02139

I am a postdoctoral associate in computer science working in the Anyscale Learning for All (ALFA) group at MIT CSAIL. I received Ph.D. in computer science from MIT in June 2017. My main interests include developing novel machine learning and predictive modeling methods to solve complex real-world problems and working on "theory to practice" projects. Between my masters and doctoral studies, I worked for Samsung Electronics as a software engineer, tech strategist, and product manager. I received S.M. in electrical engineering and computer science from MIT and Sc.B. in mathematics and physics from Brown University. I also spent a year reading natural sciences at Pembroke College, Cambridge University, UK, as a Roger Williams Scholar. Recently, I received the National Science Foundation (NSF) Award for Young Professionals Contributing to Smart and Connected Health and the best paper award at the NIPS machine learning in healthcare workshop.


My current research focuses on developing novel machine learning algorithms that enable an extremely fast prediction of acute and critical events in intensive care units based on massive time series data. In particular, I design a new nearest neighbor search based prediction method via locality-sensitive hashing. Compared to the state of the art, it is able to exploit the underlying data structure and simultaneously provides orders of magnitude faster querying times with a trivial decrease in accuracy as a trade-off.



Spring 2012 6.005 Elements of Software Construction (TA)