- Published multiple papers in top-tier journals on using deep learning techniques to improve cancer diagnosis accuracy.
- Received the Best Paper Award at the 2019 International Conference on Medical Image Computing and Computer-Assisted Intervention.
Research Experience
- Data Scientist at Google Health, focusing on developing AI models for disease prediction, 2020-Present
- Research Assistant at Stanford University, involved in several interdisciplinary projects including smart healthcare solutions, 2017-2020
Education
- PhD in Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
- MSc in Information Technology, Massachusetts Institute of Technology, 2013-2015
Background
Research interests include but are not limited to artificial intelligence, machine learning, and their applications in healthcare. Has a strong background in data science.
Miscellany
Enjoys reading science fiction and practicing yoga in his free time.