For my undergraduate degree, I studied Mathematics at the State University of New York at Geneseo. I then worked from 2014-2018 as a software developer at Silent Spring Institute in Newton, Massachusetts, where I worked on methods for making complex scientific information accessible to lay audiences.
Since 2018 I have been pursuing a PhD in Biostatistics in the Department of Biostatistics & Epidemiology at the University of Massachusetts Amherst, with Leontine Alkema as my advisor. For the 2021-2022 academic year I am studying with Antoine Chambaz at the MAP5 laboratory, Université de Paris.
My research interests include Bayesian modelling, causal inference, semi-parametric statistics, and targeted learning. My thesis includes work on Bayesian hierarchical temporal modeling and targeted learning with applications in global health.