I'm a third year Information Science PhD student at Cornell University where I work with Allison Koenecke and Ian Lundberg. 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 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