I am a Ph.D. candidate in Biostatistics at Johns Hopkins University, jointly advised by Dr. Jiayi (Jessie) Tong and Dr. Elizabeth A. Stuart.
My primary research interests focus on real-world evidence synthesis, causal inference, and federated learning. Specifically, I have developed efficient and lossless distributed algorithms for multivariate longitudinal healthcare data across institutions while preserving patient privacy.
Beyond methodology, I am passionate about biostatistics education and have served as the lead organizer for the Biostatistics Education & Student Training (BEST) Seminar and the Johns Hopkins Causal Inference Working Group.
Education
Johns Hopkins University | Baltimore, MD Ph.D. in Biostatistics | Aug 2024 - Present | Advised by Dr. Jiayi (Jessie) Tong and Dr. Elizabeth A. Stuart.
Duke University | Durham, NC M.S. in Statistical Science | Aug 2022 - May 2024 | Advised by Dr. Hwanhee Hong & Dr. Alexander Volfovsky
Carleton College | Northfield, MN B.A. in Statistics & Political Science | Aug 2018 - June 2022 | Advised by Dr. Andrew Poppick & Dr. Greg Marfleet
Honors & Awards
New England Rare Disease Statistics Workshop Best Paper Award (2026)
ICSA Applied Statistics Symposium Student Paper Award (2026)
PHAISE AI Research Day Student Award at Johns Hopkins University (2026)
Teaching Assistant of the Year Award at Duke University (2024)
Honorable Mention for BEST Award for Student Research at Duke University (2024)
Dean’s Research Award for Master’s Students at Duke University (2023)
Dean’s Research Award for Master’s Students at Duke University (2022)
Phi Beta Kappa Society & Sigma Xi Society at Carleton College (2022)
Magna Cum Laude at Carleton College (2022)
Dean’s Honor List (Top 10% of Class, 2021)