Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Editor's Pick in the Magnetic Resonance in Medicine, Nov 2018
- Best Overall Poster, NVIDIA GPU Technology Conference, 2018
- Best Healthcare Poster, NVIDIA GPU Technology Conference, 2018
- Magna Cum Laude Merit Award, The International Society of Magnetic Resonance and Medicine (ISMRM), 2013
- Zhejiang Province Outstanding Undergraduate Award, 2009
- Best Undergraduate Thesis Award, Zhejiang University, 2009
- Multiple journal publications such as NPJ Digital Medicine, Radiology, etc.
Research Experience
- Principal Machine Learning Scientist at the AI Evaluation Lab, Radiology, School of Medicine, Stanford University, 2023 - present
- Lead of Data Science at LVIS Corporation, Palo Alto, CA, 2015 - 2023
Education
- Stanford University, PhD in Electrical Engineering, 2012-2015
- University of California Los Angeles, M.S. in Electrical Engineering, 2009-2012
- Zhejiang University, B.E. in Information and Electronic Engineering, 2005-2009
Background
Research interests include driving innovation in medical AI, with a focus on achieving better clinical decisions, advancing personalized medicine, and streamlining healthcare efficiency.