Bio

I am a first-year Ph.D. student at Northeastern University’s Network Science Institute, advised by Brennan Klein. My research interests broadly involves using complex systems modeling to improve the design of policy interventions. My past research has focused on the impact of uncertainty on optimal interventions in an epidemiological setting. I’m currently interested in developing principled ways of extracting models of complex systems from empirical data using tools such as nonparametric Bayesian inference, causal inference, and information theory.

I previously completed my master’s in Complex Systems and Data Science at the University of Vermont, advised by Jean-Gabriel Young and Laurent Hébert-Dufresne. Before that, I was a developer working on quantum computing software, a math/physics teacher, and a cook.

In my spare time, I like cycling around Boston, playing piano, and seeing live jazz.

Interests
  • Network science
  • Public policy
  • Bayesian inference
  • Statistical physics
  • Complex systems
Education
  • MS in Complex Systems and Data Science, 2023

    University of Vermont

  • BA in Physics, 2018

    Dartmouth College