- Published a paper titled 'Improving Early Cancer Detection with Deep Learning' in Nature
- Won Best Paper Award at International Conference on Machine Learning (2019)
- Holds three US patents related to medical image analysis
Research Experience
- Postdoctoral Researcher at Stanford University, 2020-Present, involved in several AI-assisted medical projects
- Research Assistant at MIT, 2014-2015, responsible for optimizing image recognition algorithms
Education
Ph.D. in Computer Science from Stanford University, 2015-2020, Advisor: Prof. Zhang; M.S. in Electrical Engineering from MIT, 2013-2015; B.S. in Computer Science and Technology from Tsinghua University, 2009-2013.
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare. Focused on developing technologies to improve the accuracy and efficiency of disease diagnosis.
Miscellany
In free time, enjoys hiking, photography, and reading science fiction.