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I am Professor of City & Regional Planning and Civil and Environmental Engineering at UC Berkeley, where I direct the HuMNet Lab. I am also a Physics Research faculty member in the Energy Technologies Area at Lawrence Berkeley National Laboratory. My training is in physics. I earned my PhD at the Universität Stuttgart in Germany in 2006, after studies in Venezuela at the Central University and Simón Bolívar University.
The statistical physics of complex systems and network science founded my scientific approach, and today spatial AI, digital traces, and environmental data keep me busy. With my colleagues, I develop numerical models and computational tools to understand human interactions in the built and natural environments, with the ultimate goal of designing urban solutions and enabling caring development in the use of new technologies.
Part of my work has focused on Latin American cities, where rapid growth and uneven access to services make data-driven planning especially urgent. With support from the Bill & Melinda Gates Foundation, I studied how digital traces, including credit-card and mobile-phone data, reveal consumption patterns, access to financial services, and the daily lives of women and underserved populations. In partnership with the World Bank, I extended these methods to mobility and infrastructure planning, developing data science frameworks to guide sustainable transportation networks, such as bicycle infrastructure, in cities across the region.
I was named a Fellow of the Network Science Society in 2023 for my contributions to understanding human mobility and transportation networks, and in 2024 I received the Lagrange–CRT Foundation Prize for research in the complexity sciences. I’ve also been honored with the Joseph M. Sussman Prize. I teach courses on data science, human mobility, and network science.