bioinformatics and computer aided drug design; AI medical care; chronic disease management with medical AI; biocomputing and AIDD
I am currently a Senior Principle Investigator at the Guangdong-Hong Kong-Macau Greater Bay Area Institute for Precision Medicine and a Joint Researcher at the School of Life Sciences, Fudan University. I earned my Ph.D. from the National University of Singapore (NUS) in 2006, and from 2006 to 2009, I served as a postdoctoral fellow at the National Institutes of Health (NIH) in the Bioinformatics Technology Center (NCBI). From 2009 to 2018, I held various positions at the NIH, including Staff Scientist and Senior Scientist. From 2018 to 2021, I was the Chief Scientist at Tencent’s Medical AI Laboratory in the United States and a Tencent Expert Researcher. My primary research areas are Artificial Intelligence-Assisted Drug Design (AIDD) and Bioinformatics. I focus on developing next-generation AI-driven pharmaceutical technologies powered by data and knowledge, as well as integrating AI with medical, pharmaceutical, biological, and chemical knowledge through big data-driven research.
Since 2002, I have been involved in several pioneering projects in the field of AIDD, including target discovery, high-throughput screening of small molecules, and bioinformatics big data. My contributions include protein function prediction, druggability research of targets, the largest public small molecule database (PubChem), the NIH Biological Pathway Database, and large-scale search engines for biological entities. I have published over 80 scientific papers in professional journals, including Nature Communications and Nucleic Acids Research, with more than 11,000 citations and an H-index of 37. I have 22 years of experience in industry-academic research collaboration and multidisciplinary fields.