Social & data scientist.

As a Ph.D. Student at Columbia University, I’m employing computational techniques to study and address various forms of urban inequality. I’m particularly interested in the ways science, technology, and big data intersect with racial inequality, housing, gentrification, crime, policing, and community safety.

My dissertation uses a mix of causal inference, mixed and fixed effects regression models, spatial data science, and machine learning to explore the causes and consequences of police violence, with particular attention paid to the relationship between modern policing and the reproduction of inequality.

I’m also working on various collaborations, exploring cross-disciplinary subjects such as:

• Urban planning: Race and class disparities in access to essential vs. discretionary services

• Housing: The relationship between third places, social integration, social conflict, and gentrification

• Social cohesion and inter-group conflict: How modern policing affects social cohesion and social solidarity

• Historical sociology: The lingering effects of historical sundown towns on contemporary segregation, racial isolation, and spatial inequality

At Columbia, I am affiliated with the Data Science Institute Computational Social Science Working Group, the Data & Racial Inequality Project, the Movements Against Mass Incarceration Lab, and the New York City Reducing Inequality Network. See the CV section of this website’s navigation for my updated curriculum vitae.