I’m an assistant professor in the Department of Epidemiology at Columbia University’s Mailman School of Public Health. Broadly, I’m interested in understanding mechanisms governing disease systems, for devising prevention and intervention strategies. Trained in environmental engineering, computer science, infectious disease modeling and epidemiology, I apply mathematical modeling and Bayesian inference methods to address a wide range of questions related to both communicable and noncommunicable diseases.
Much of my research has focused on statistical inference and forecast of infectious diseases including influenza, measles, and Ebola.
More recently, I have started to work on modeling cancer diseases.
Prospective students and researchers interested in working with me should check on Openings.