Summary

I am a ML researcher at Google Research.
My research interests include deep learning and information theory.
I recently focus on applying deep learning to drug discovery, see Google AI blog: Unlocking the “Chemome” with DNA-Encoded Chemistry and Machine Learning.
Google Scholar.

Education

Ph.D. in Electrical and Computer Engineering, Syracuse University, 2009
M.S. in Computer Science, Chinese Academy of Science, Institute of Automation, 2005
B.S. in Electronic Engineering and Information Science, University of Science and Technology of China, 2002

Applying Deep Learning to Drug Discovery
- Our publication in the Journal of Medicinal Chemistry, for the first time, discovered a novel small molecule ligand for WDR91 by using affinity-mediated DNA-encoded chemical library selection followed by deep learning. WDRs’unique β-propeller structure makes them attractive targets, but most human WDRs are unexplored compared to other major drug target families. The discovery of a drug-like small molecule and its covalent analog compounds will soon enable researchers to identify a WDR91 drug candidate.
Studying secure communication from information theoretic perspective
- Our publication in IEEE Transactions on Information Theory provided new insights into secure communication over broadcast channels by developing both inner and outer bounds for the rate equivocation region.