Aditya Khanna, PhD, MS
Staff Scientist and Director of Network Modeling
Chicago Center for HIV Elimination
University of Chicago
Dr. Khanna is a computational epidemiologist and statistician, and is interested in combining data and mathematical and statistical models to understand infectious disease dynamics and prevention mechanisms. He works on assessing the applicability of models and modeling frameworks, and the epidemiological, demographic and public health implications of such computational and modeling work. A focus of his work is to use computational and simulation modeling tools to inform policy decision-making for HIV prevention. Modeling of dynamic empirical networks is a recurring theme in his research, both to generate sexual networks through which pathogens transmit, and the flow of information through social networks, which impact human behaviors. The feedbacks between micro-level agent-behaviors and macro-level community structure are of particular interest in this work. His prior work has involved network modeling of HIV transmission dynamics in several populations: circular migrants, pregnant women, serodiscordant couples in various regions of Africa, and men who have sex with men (MSM) in the United States. Dr. Khanna’s current work at the Chicago Center for HIV Elimination is focused on various NIH-funded modeling and data analytic projects to reduce HIV incidence in vulnerable populations.