I am an Assistant Professor in the Department of Biostatistics and Health Data Science at the University of Pittsburgh (since 2024). From 2021-2024, I was a postdoctoral research fellow in the Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine of the University of Pennsylvania, supervised by Dr. Yong Chen. I received my Ph.D. degree in Statistics from the University of Maryland under the supervision of Dr. Shuo Chen in 2021.
Contact:
Target trial emulation, bias correction methods in trial emulation framework
Transfer learning, federated learning, and causal inference using real-world data
Statistical network analysis with applications in neuroimaging, gene expression data, and social networks.
Collaborative research in the area of vaccine efficacy, Long COVID, health disparities, pharmacovigilance, and psychiatry.
ICSA Applied Statistics Symposium, Honorable Mention for Research Poster Award, 2023
ISGlobal (Barcelona Institute for Global Health), Exposome Data Challenge Event, 2021
ASA Statistics in Imaging, First Place Winner of Student Paper Competition, 2020
Statistical Methods in Imaging (SMI) conference, Student Paper Competition, 2020
WiML (Fourteenth Annual Workshop for Women in Machine Learning, co-located with NeurIPS), Travel Award, 2019
Big Data Neuroscience Workshop, Student Travel Award, 2019
University of Pittsburgh:
[BIOST 2011] Principles of Statistical Reasoning, Spring 2026
[BIOST 2168] Introduction to Causal Inference, Fall 2025