Group Members

I use a broad range of mathematical tools ranging from statistical physics, ecology, pharmacology, and epidemiology to inform vaccination, treatments, and cures for infectious diseases like SARS-CoV-2 and HIV. You can find out more on my Fred Hutch profile and www.dbrvs.org (personal). 

I am a statistical physicist by training, graduated from Virginia Tech in 2019. My burning desire to understand the complexity and interconnectedness of the human body sparked during my sister’s battle with cancer and only grew over time.  After three years of post-graduate work at the interface between modeling ecological systems with statistical physics, I joined the fantastic, diverse group of scientists at the Vaccine and Infectious Disease Division to understand and model the virus dynamics and its interaction with the immune system. Here at Schiffer’s group, I’m modeling gene drive technology in herpes viruses and the pharmacokinetic and pharmacodynamic modeling of combination therapy and simulating a clinical trial.

I'm an applied mathematician who studied at the University of Texas Rio Grande Valley before earning my Ph.D. in Applied Mathematics for the Life and Social Sciences from Arizona State University in 2024. I joined the Schiffer Group in early 2025 to use mathematical modeling to study the complex systems that arise at the cellular level, particularly in the context of the human immune system and HIV infection. My current research focuses on modeling the evolutionary dynamics of HIV to better understand the persistence of the viral reservoir and to help identify which therapeutics are most effective at different stages of infection.

I studied mathematics at Willamette University and applied mathematics at the University of Washington before joining the Schiffer group as a post-doctoral research fellow in spring 2022. I am excited about using mechanistic mathematical models to address open questions in biology and medicine. In my current work, I aim to understand the within-host dynamics and evolution of SARS-CoV-2 during infection in order to inform optimal treatment plans for immunocompromised patients and clinical trial design.

I'm an undergraduate student at Colubmia University studying math. I'm especially interested in the application of math and computational theories and tools to biomedical research.