Resume
Academic Achievements
- Published over 20 international journal papers, with one paper on deep learning for skin cancer detection winning the best paper award; Holds three US patents, all in the field of medical image analysis.
Research Experience
- Postdoctoral Fellow at MIT, focusing on the development of AI-assisted cancer screening technologies, since 2020; During his graduate studies at Stanford, he was involved in multiple projects related to medical image processing.
Education
- Ph.D. in Computer Science from MIT, Advisor: Prof. John Smith, 2015-2020; M.S. in Biomedical Engineering from Stanford University, 2013-2015; B.S. in Electrical Engineering from UC Berkeley, 2009-2013.
Background
- Research interests include artificial intelligence, machine learning, and their applications in healthcare; focusing on developing new algorithms that can improve diagnostic accuracy and efficiency.
Miscellany
- Enjoys reading science fiction and participating in marathons in his free time.