I'm a second year Information Science PhD student at Cornell University. I apply computational and causal inference methods to social science domains like public health, housing, and healthcare. Drawing on algorithmic approaches from computer science, I am particularly interested in developing \textit{data-adaptive} methods for efficiently conducting experiments with numerous treatments in social science settings. Lastly, my research emphasizes fairness and equity considerations in evaluating algorithmic tools.

I have a master's degree in urban planning from NYU Wagner where I worked on data-driven policy research related to housing in New York City. I previously worked at Mathematica, where I used R and Stata to analyze education, labor, and child welfare policies. I graduated from Brown University in 2019 with a BA in Applied Mathematics and Urban Studies. While living in Providence, Rhode Island, I led a community-based research project about renter insecurity and property ownership in Providence, produced a Storymap for the Providence Parks Department, and made documentary short films about affordable housing and evictions.

data science | quantitative research | urban planning | NYC


  • Information Science PhD, Cornell University, 2023-present

  • Urban Planning, NYU Wagner, 2023

  • Data Science for Social Good Fellow, Carnegie Mellon, 2022

  • Programmer, Mathematica, 2021

  • Applied Math & Urban Studies, Brown University, 2019


C.V.

current projects