About
I am a computational physicist and urban scientist specializing in agent-based modeling, human mobility, migration, and complex systems. I combine large-scale simulation, geospatial data, network science, and statistical modeling to understand how cities grow, function, and respond to disruption.
At George Mason University, I develop high-performance urban simulations capable of modeling more than 20 million agents. Previously, at Purdue University, I studied migration, city growth, and post-disaster recovery using demographic data and physics-inspired models.
My work connects fundamental questions about collective behavior with practical challenges in mobility, infrastructure, resilience, and urban planning.
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Featured research
Large-scale ABM simulation
Urban patterns of life
Developed a generalizable agent-based framework that reproduces daily activity and mobility patterns across US cities. The system scales to full metropolitan populations of more than 20 million agents using Repast4Py and MPI.
Migration and population growth
How cities change
Analyzed migration and demographic dynamics across more than 3,100 US counties, revealing how migration shocks, density gradients, and spillover effects shape urban growth and city-rank stability.
Collective behavior
Complex social systems
Used statistical physics, networks, and agent-based models to study cooperation, collective intelligence, innovation diffusion, cultural dynamics, and the limits of crowd wisdom.
Selected contributions
- First author of more than 25 scientific publications, including articles in Nature Communications, Nature Cities, and Physics of Life Reviews.
- Lead developer of high-performance simulation and geospatial data pipelines for the IARPA HAYSTAC program.
- Academic Editor at PLOS ONE in Urban Studies, Complexity, and Networks.
- Recipient of multiple research grants and fellowships, including support from the São Paulo Research Foundation (FAPESP).