I am an Assistant Professor with the Artificial Intelligence Initiative in the Department of Biostatistics, University of Florida. I obtained my Ph.D. degree in statistics from the University of Wisconsin-Madison in 2018. After graduation, I briefly worked as a Data Scientist at Google. Then, I joined Fred Hutchinson Cancer Research Center as a post-doctoral research fellow working on biostatistics methodology and applications.
My research topics focus on treatment recommendations based on patient-level information, identifying signals from high-dimensional data, and other novel machine learning techniques with applications to biomarker identification, cancer surveillance, and digital health. My research goal is to realize data-driven healthcare decision-making through innovative methods combining statistical and machine learning techniques.
Address: 2004 Mowry Road, 5th Floor CTRB, Gainesville, FL 32611
Interested students please feel free to contact me.
New! Recent work was accepted in the Journal of Machine Learning Research. Co-mentored student will join booth School of Business at UChicago as a postdoc.
Ph.D in Statistics, Department of Statistics, University of Wisconsin-Madison, 2014 - 2018
B.S. in Mathematics and applied mathematics, Tsinghua University, 2010 - 2014
Post-doctoral Fellow at Fred Hutchinson Cancer Research Center, 2019 - 2022
Quantitative Analyst at Google, 2018 - 2019
Summer Intern at Eli Lilly & Company, 2017
Reviewer: Statistics in Medicine, Biometrics, Journal of Nonparametric Statistics, IEEE Robotics and Automation Letters, Journal of Machine Learning Research, Journal of the American Statistical Association, Journal of the Royal Statistical Society: Series B, Annals of Statistics.
2022 ICSA Student Paper Award Committee
2021 ICSA Student Paper Award Committee
Invited Talk, Joint Statistical Meetings 2022, Washington D.C., 08/2022.
"Statistical Inference of Decision Rules under a Non-differentiable Surrogate Loss in a General Classification Framework."
ENAR Spring Meeting 2022 (online), 03/2022.
“Indirect and Direct Learning of Optimal Individualized Treatment Rule." (slides)
Invited Talk, Department of Statistics, Purdue University, 03/2021.
Invited Talk, Biostatistics Department, MD Anderson Cancer Center, 02/2021.