- Published in Nature: 'Improving Breast Cancer Screening with Deep Learning', 2023
- Best Paper Award at International Conference on Machine Learning, 2022
Research Experience
- Senior Researcher, Google Health, leading the development of AI-driven heart disease prediction models, 2022-present
- Intern, IBM Research, worked on building a data analytics platform for early cancer detection, Summer 2021
Education
- PhD in Computer Science, Stanford University, Advisor: Prof. Zhang, 2018-2022
- MSc in Bioinformatics, UCLA, 2016-2018
Background
Research interests include artificial intelligence, machine learning, and their applications in healthcare; focused on developing technologies to improve diagnostic accuracy and treatment outcomes.
Miscellany
Enjoys long-distance running and reading science fiction.