Research Interests
I am a Professor at the Department of Biomedical Informatics and the Department of Computer Science at Stony Brook University. I received my Ph.D. in Computer Science from the University of California, Los Angeles, and M.S. and B.S. in Engineering Physics from Tsinghua University.
Prior to joining Stony Brook, I was an Assistant Professor at Emory University and a Research Scientist at Siemens Corporate Research (Princeton, NJ). My research spans Spatial Big Data Management, AI in Healthcare, Medical Imaging Informatics, Clinical Informatics, Population Health, Opioid Epidemic Research, and Assistive Technologies.
In 2014, I received an NSF CAREER Award for High Performance Spatial Queries and Analytics for Spatial Big Data.
Recent Service
Congratulations to Tyler, Rachel and the team! "Clinician-centered evaluation of large language model-generated discharge summaries for longer hospitalizations" — LLM-generated summaries were preferred by clinicians in 95% of encounters. Published in npj Digital Medicine.
I will teach CSE532: Theory of Database Systems in Spring 2027.
I will lead a PCORI funded project on human-centered AI for early prediction of patient risks. More at Stony Brook News.
Our 2013 paper "Hadoop GIS: a high performance spatial data warehousing system over MapReduce" received the VLDB Endowment Test of Time Award for its lasting contributions to big spatial analytics. Read more.
Congratulations to Jianyuan! "A systematic study of key elements underlying molecular property prediction" unveils insights into AI-based molecular modeling through evaluation of 62,820 models.
Our lab contributes to the Human BioMolecular Atlas Program (HuBMAP), supporting 3D spatial data management at extreme scale.
We are funded by DOD CDMRP to advance EyeCanDo, integrating eye gaze, facial expressions, and brain-computer interfaces on iPad to empower communication for ALS patients.
