Bio

I am a Ph.D. student at the Network Science Institute at Northeastern University. My research focuses on developing non-parametric methods for analyzing complex data, with a focus on sociotechnical, political, and urban systems. I’m also interested in how these methods can support the design of policy interventions. With real-world impact in mind, I am also thinking about how complex systems thinking can shape society at scale through digital platforms. My work is supported by an NSF traineeship on Plaforms for Exchange and Allocation of Resources (PEAR).

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, where I studied the impact of uncertainty on optimal interventions in networks. Before that, I was a developer working on quantum computing software, a math/physics teacher, and a cook.

In my spare time, I like playing the piano, getting outside, 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