Photo by Taylor Alarcon. London, UK, 2017.

Photo by Taylor Alarcon. London, UK, 2017.

Social & data scientist.

As a Ph.D. Student at Columbia University, 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.

My current personal research project uses causal inference, mixed and fixed effects regression models, and spatial data science to measure the impact of police violence on the socioeconomic fabric of often already disadvantaged communities. Another ongoing research project uses machine learning techniques to measure the (un)predictability of police killings of unarmed civilians. I’m also working on various collaborations, exploring topics such as the transition from residential segregation to movement segregation, or the impact of police violence on social cohesion and collective efficacy.

See the CV section of this website’s navigation for my updated curriculum vitae.