1. Free and open to the public
Biosocial Network Models for
HIV Elimination
Even as the global response to the HIV/AIDS epidemic has improved, in the United States men who have sex with men (MSM) continue to experience a disproportionate burden of the epidemic. I apply computational network modeling methods to study how new HIV infections among MSM can be eliminated. Specifically, I use empirical data to model sexual networks through which pathogens transmit, and social network data to improve clinical engagement to prevent new HIV infections. In this talk, I will describe recent successes in utilizing network modeling of sexual behavioral data to improve HIV testing and diagnosis in Southern California, and social network analysis to improve clinical care outcomes in Chicago.
Thursday, January 26, 2017
SHESC Building, Room 254
4:00pm
Free and open to the public
Aditya S. Khanna, PhD, is Staff Scientist, Director of Network Modeling, at the University of Chicago. His research applies biosocial network modeling to eliminate HIV infections. He holds a Ph.D. in Quantitative Ecology and an M.S. in Statistics from the University of Washington. Outside of work, he practices capoeira, an Afro-Brazilian art form that combines percussion music, vocals and dance.