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Resume (English only)
Academic Achievements
- Published 'Application of Deep Learning in Early Detection of Lung Cancer' in Nature Medicine, 2021
- Won Best Paper Award at International Conference on Machine Learning, 2022
- Holds multiple patents on image recognition algorithms
Research Experience
- Research Scientist, Google Health, leading the development of AI-assisted diagnostic tools, 2020-Present
- Intern, IBM Watson Health, contributed to NLP technology optimization, 2018-2019
Education
- Ph.D., Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
- M.S., Biomedical Engineering, MIT, 2013-2015
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare. Focuses on developing technologies to improve diagnostic accuracy and treatment outcomes.
Miscellany
In his free time, enjoys reading science fiction and participating in marathons.