I am a Research Scientist in the Center for Evidence Synthesis in Health and an Assistant Professor of Practice in the Department of Epidemiology. My primary research interests include infectious disease transmission, computational modeling, causal inference, and applied machine learning. I am also interested in social/sexual networks and complex systems more generally.
My PhD dissertation focused on using agent-based models to study gonorrhea transmission among men who have sex with men. I've conducted epidemiologic research on respiratory syncytial virus and HIV and investigated the use of ensemble machine learning techniques to predict seasonal influenza
I am worked on the MAPPS Project (Mobility Analysis for Pandemic Prevention Strategies), implementing Bluetooth and WiFi-based positioning systems to study contact networks and disease propagation in indoor environments. Currently, I am working on methods to improve localization accuracy using these an other signal streams. I have also recently begun working on methods related to modeling biological features of Alzheimer's disease.