My research focuses on statistical inference using Agent Based Models.

A primary area of interest is using Agent Based Models to simulate the spread of diseases throughout populations and then using traditional statistical emulation methods to infer about parameters of interest and make predictions as to how altering certain conditions would affect the emergent structure in these models.

For the time being, I am using NetLogo as my Agent Based Modeling software, while working on developing my own more modular modeling program.

I am currently involved in a research project examining the spread of HIV through a high-risk community in India. We are developing an accurate model of sexual behavior in this community and intend to use this model to predict how altering attributes such prostitution and condom use will affect the spread of the disease. I am collaborating with Dr. John Schneider and Chuanhong Lio in the Department of Health Studies at the University of Chicago and Dr. Sayan Mukerjee in the Department of Statistical Science at Duke University.