Ollin D. Langle-Chimal
Exploring complexity in urban systems, human mobility, and social dynamics through computational methods and data science
Urban Mobility
Understanding how people move through cities reveals patterns of accessibility, inequality, and opportunity. Through mobility data and network analysis, I study the complex systems that shape urban life.
Economic Complexity
The economic capabilities of cities and regions emerge from intricate networks of knowledge, skills, and industries. I explore how complexity theory illuminates economic development and spatial inequality.
Social Inequality
Spatial patterns of inequality reflect deeper structural forces in society. My research examines how geography, economics, and social networks interact to produce and perpetuate disparities.
Featured Research
WorkReach: How Far Do We Go for a Better Job?
A model to understand why people work where they work, how far they are willing to travel for a better job, and how that changes between Mexico City, Rio de Janeiro, Los Angeles, and the Bay Area.
ResearchWho Reaches the UTOPÍAS? Third Places and Mobility in Iztapalapa
We used mobility data from cell phones to understand who visits the 13 UTOPÍAS in Iztapalapa, where they come from, and what transit, services, and violence have to do with it.
ResearchWho Could Stay Home? Mobility and Inequality During COVID-19
We used data from 281 million phones in six countries to see who could stay home, who left the city, and who stopped going to work during the pandemic.
Interested in collaboration?
I'm always open to discussing research opportunities, data science projects, and interdisciplinary collaborations.
View my CV