Min Woo Sun (선민우)
PhD Candidate at Stanford University
Currently: I am a PhD candidate in the Department of Biomedical Data Science at Stanford University, advised by Rob Tibshirani. I work at the intersection of AI/ML and biology, focusing primarily on the design and evaluation of statistical methods for high-dimensional problems and their applications to precision health. My interest spans multiple areas including statistics, computer vision, and game theory.
Previously: I graduated from UCLA with a B.S. in Statistics and B.A. in Economics. During this time, I worked with Dennis Wall and Stefano Moretti. I also worked full-time as a Data Scientist at Invitae and as a Research Intern at Guardant.
news
Jan 25, 2024 | Our paper on utilizing AI for analyzing laparoscopic surgery videos has been published in NEJM AI. 🧠 |
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Aug 14, 2023 | Our paper on valid confidence intervals for cox model error got accepted to Statistics in Medicine. 🛠️ |
Jun 20, 2023 | I am starting my summer internship as a Research Intern at Guardant! 🩸 |
selected publications
2024
- NEJM AIArtificial Intelligence Identifies Factors Associated with Blood Loss and Surgical Experience in CholecystectomyNEJM AI, 2024
2023
- stats medConfidence intervals for the Cox model test error from cross-validationStatistics in Medicine, 2023
2020
- BMCGame theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley valueBMC bioinformatics, 2020
2018
- PSBCoalitional game theory as a promising approach to identify candidate autism genesIn PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific Symposium, 2018