- I recently joined NVIDIA as a Distinguished Engineer, where I’m developing VLSI AI Agents that leverage large language models (LLMs) to accelerate hardware design.
- My research interests include deep learning and information theory, Google Scholar.
- Visit my blog for thoughts on various topics.
- Past work experiences
- I was a ML researcher at Google Research.
- Applying deep learning to drug discovery, see Google AI blog: Unlocking the “Chemome” with DNA-Encoded Chemistry and Machine Learning.
- I was a ML researcher at Google Research.
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
Selected Research Projects
- 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.
- Ph.D. Dissertation
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