I am a computer scientist with expertise in artificial intelligence and medical imaging. My long-standing career goal is to develop and validate robust clinically-effective AI diagnostic/ prognostic systems for physicians to use to improve diagnosis/ prediction and prevention of patient outcomes for high-risk infants and children. I have led multiple NIH- and institution- funded studies to develop MRI prognostic biomarkers and deep learning models for early detection/ prediction of various important clinical outcomes, including cognitive, language, and motor deficits, attention deficit hyperactivity disorder, autism spectrum disorder, and chronic liver diseases. I am driving the clinical translation and implementation of AI technologies in context of improved value of medical imaging (improved outcomes associated with a lowering of healthcare costs). Learn More
Machine learning; deep learning; medical image processing and analysis
Massachusetts General Hospital, Harvard Medical School, Boston, MA, 2010.
Doctor of Philosophy (Ph.D.)
Computer Science and Engineering, University of Connecticut, Storrs, CT, 2008.
Master of Science (M.S.)
Computer Science, University of Missouri, Columbia, MO, 2003.
Bachelor of Science (B.S)
Electrical Engineering, Tsinghua University, Beijing, China, 1998.