Current Research

Photo by Taylor Alarcon. London, UK, 2017.

Social & data scientist.

As a Ph.D. Student at Columbia University, my current research explores the relationship between innovation and equity.

More specifically, I’m employing computational, statistical, and spatial techniques to study and address various forms of urban inequality. I’m particularly interested in the ways science, technology, and data intersect with racial inequality, housing & neighborhood inequality, crime, policing, and community safety.

Current projects (updated 11/01/2023):

Causal inference & machine learning: Using a mix of propensity score matching and interrupted time series analysis to identify the causal impact that both high-profile and local instances of police violence have on violent crime trends (i.e., violence begets violence).
Spatial data science: Investigating disruptions in urban mobility flow in response to instances of both local violence (ex. homicides, robberies) and police violence.
Natural language processing: Employing a mix of text analysis and network science to trace transformations in the ideological state space of Black liberation organizing over the past 50 years.
Space & place: Identifying and understanding “third places” in the context of disadvantaged and minority neighborhoods, and their role in precipitating social network formation, entrepreneurial activity, and economic mobility.