Research at the intersection of quantitative social science, computational methods, and crime analysis. My work spans mathematical modeling of crime patterns, predictive policing methodology, gang dynamics, archaeological science, and applied partnerships with law enforcement agencies.
University of California, Los Angeles
Mathematical and computational models of crime concentration, hotspot dynamics, and spatial-temporal patterns in urban crime.
Self-exciting point process models, randomized controlled trials of prediction algorithms, and analysis of bias in predictive systems.
Territorial behavior, rivalry networks, violence interruption, and game-theoretic models of gang interactions.
NLP applied to crime narratives, knowledge graphs, network analysis of online radicalization, and reinforcement learning approaches.
Quantitative approaches to lithic technology, forager mobility, human colonization of the Tibetan Plateau, and cultural transmission.
COVID-19 impacts on crime, public-police cooperation, violence prevention program evaluation, and firearm violence epidemiology.