I'm a social/spatial/data scientist doing research on cities and social inequality. I finished my Ph.D at the University of Maryland in October, 2016. My academic research focuses on urban inequality, neighborhood effects, neighborhood change, housing markets, and residential mobility. I'm also interested in computational social science, agent based modeling, machine learning, and spatial data science with Python and R.
Currently I am a Postdoctoral Research Associate at the Center for Geospatial Sciences at the University of California-Riverside where I conduct research at the nexus of neighborhood inequality, spatial data science, and housing policy. My current projects focus on (1) modeling the spatio-temporal dynamics of neighborhood composition and inequality (e.g. gentrification, displacement) and (2) modeling the location outcomes of Housing Choice Voucher recipients.
Prior to joining UCR, I served as a visiting assistant professor and postdoctoral research associate at the University of Illinois at Chicago where I taught courses on urban data visualization, a postdoctoral fellow at Enterprise Community Partners, and as an adjunct professor at the University of Maryland where I taught a graduate seminar on Smart Cities and Urban Data Science.
I remain affiliated with the National Center for Smart Growth where I previously ran the spatial research lab. I have a close relationship with the Urban Institute, with whom I've done some quantitative analyses of the (Thompson) Baltimore Housing Mobility Program and the Moving to Opportunity (MTO) fair housing demonstration. I'm also working on a study, funded by the Lincoln Institute for Land Policy, examining global conceptions and measurements of spatial equity in the U.S., Eastern Europe, and Latin America.
contact me at firstname.lastname@example.org