I am an Assistant Professor in the Department of Biostatistics and Health Data Science at the University of Pittsburgh. 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 Health Equity Research and Promotion, Department of Veteran Affairs where I am part of an interdisciplinary team of doctors, researchers, clinicians and scholars advancing the quality and equity of health and health care for 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:

  1. 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.
  2. 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.