Anjalika Nande

Postdoctoral Fellow, Institute for Computational Medicine

Anjalika is a postdoctoral fellow at the Institute for Computational Medicine at Johns Hopkins University. She is interested in using mathematical modeling to understand the spread and evolution of infectious diseases both in individual hosts and across populations. Her research in the ID Dynamics group focuses on understanding how drug resistance emerges during long-acting HIV therapy, and understanding the factors affecting selection and competition between pathogen variants in an ongoing epidemic. Anjalika completed her PhD in Physics at Harvard University in 2021, where she studied the effect of the human contact network structure on the transmission dynamics of SARS-CoV-2, and she also investigated how different sources of resistant mutations govern the risk of treatment failure under long-acting antimicrobial therapies. 


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