My research interests are developing mathematical models for disease prediction, prevention, and control. The mathematical methodologies I most commonly use are from areas of stochastic processes and simulation modeling. I am currently working on two mains areas of application. One is analyzing the impact and cost-effectiveness of alternative portfolio combinations of care interventions for HIV-infected persons, which could help develop an implementation strategy to achieve the 2020 National HIV/AIDS Strategy goals for the United States. This work is in collaboration with the Centers for Disease Control and Prevention. I am also involved in developing natural history models for cancer onset and progression at the national-level, to identify impact and costs of screening interventions, applied to low and middle income countries. This work is in collaboration with the World Health Organization and Avenir Health.