Welcome!
I am an Assistant Professor in the Department of Biostatistics and Health Data Science at the University of Pittsburgh School of Public Health. In the summer of 2024, I graduated from the University of Michigan, Ann Arbor with a Ph.D. in Biostatistics.
In addition to my role at Pitt Public Health, I work as a Research Biostatistician at the Center for Healthcare Evaluation, Research, and Promotion (CHERP), Department of Veteran Affairs. CHERP is a Center of Innovation dedicated to understanding and improving health and healthcare outcomes to support VA in providing excellent care and service to all Veterans.
📖 Research
Broadly, I am interested in scaleable and flexible statistical models for design and analysis of biomedical studies and their applications to medical or social science and public policy. The research that I work on include Bayesian methods as well as classical semi- and non-parametric approaches. I love challenges in statistical computing and spend most of my time rubber-ducking my code to myself.
My current research interests include:
- Information-theoretic framework for association and causality: development of statistical methods for studying association and causality without relying on traditional causal inference assumptions, with applications in areas like mediation analysis and instrumental variables.
- Compartmental models for infectious disease modeling: development of spatiotemporal forecasting techniques to study transmission and fallout of infectious diseases, with specific emphasis on COVID-19.