- Published 'Improving Lung Cancer Screening Accuracy with Deep Learning' in Nature Medicine, 2021
- Best Paper Award at International Conference on Machine Learning, 2020
Research Experience
- AI Researcher at Google Health, focusing on using deep learning to improve early cancer detection, 2022-present
- Research Assistant at Stanford School of Medicine, involved in multiple AI-assisted diagnosis projects, 2019-2022
Education
- Ph.D. in Computer Science, Stanford University, Advisor: Prof. Zhang, 2018-2022
- M.S. in Bioinformatics, Massachusetts Institute of Technology, 2016-2018
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare; focusing on developing AI systems that can improve diagnostic efficiency and accuracy.
Miscellany
In free time, enjoys reading science fiction, participating in marathons, and trying out cuisines from different countries.