I am a PhD candidate in Dr. Shweta Bansal’s lab in the Global Infectious Diseases program at Georgetown University. My research with the Bansal Lab examines the spatial and age dynamics of influenza from an epidemiological perspective through quantitative data analysis and modeling. I am interested in applying my research at the interface of modeling and public health policy.

In support of my interest in model and data-driven decision making, I did an internship with the Biomedical Advanced Research and Development Agency (BARDA) at the Department of Health and Human Services (HHS) in Spring 2014. I supported the Analytic Decision Support group in their capacity as the modeling and analysis branch of BARDA by exploring models for estimating transmissibility and severity in influenza. In Spring 2013, I performed a research rotation in the group of Michael Stoto, where I supported a CDC-funded Preparedness and Emergency Response Research Center in research related to the development of a critical incident registry and peer assessment mechanism for public health departments.

In a previous life, I worked at the IDA Science and Technology Policy Institute, where I performed data analyses and supported program evaluations in tasks for the Office of Science and Technology Policy, the President’s Council of Advisors on Science and Technology, and the National Institutes of Health.


May 2016: It’s been a long time coming (NIMBioS math biology graduate workshop 2013), but our paper on cholera model distinguishability is out on Arxiv!

January 2016: Check out my new paper on quantifying seasonal influenza severity or read my short post!