I am a spatial data scientist trained in stratification sociology, urban economics, and quantitative geography, and I study social inequality and spatial structure in neighborhoods, cities, and regions. Currently I am a Senior Research Scientist and the Associate Director of the Center for Open Geographical Science at San Diego State University.

My research focuses on urban analytics, spatial policy analysis, and neighborhood dynamics, and my work in both methodological development and applied analytics has received financial support from the National Science Foundation, the National Institutes of Health, the U.S. Dept of Housing and Urban Development, the Urban Institute, the Bill and Melinda Gates Foundation, Enterprise Community Partners Inc., the Lincoln Institute for Land Policy, the Robert Schalkenbach Foundation, and the National Cooperative Highway Research Program, among others.

As a result, I have published widely on topics including segregation, neighborhood effects, fair housing policy, gentrification, economic geography, public health, and urban modeling. I also develop and maintain several open-source software packages for spatial statistics, neighborhood dynamics, and segregation analysis. The goal of this work is to advance the state of spatial data science and inform urban policy, planning, and social science with rigorous, reproducible, spatially-explicit methods.

Apart from research at COGS, I serve currently on the North American Regional Science Council and as Treasurer of the Northeastern Regional Science Association. I lead the development of geosnap, the Geospatial Neighborhood Analysis Package and serve as a core developer and steering committee member for the Python Spatial Analysis Library (PySAL), as well as a lead developer at QuantEcon. I am also an affiliate at the National Center for Smart Growth Research and Education.