I am a quantitative sociologist with research interests in residential segregation, housing markets, crime, and population health. My work uses large-scale observational and administrative data to study how spatial and social structures shape inequality across American communities.

My research spans four interrelated streams:

Residential Diversity, Segregation, and Neighborhood Change. The center of my research program examines the demographic and socioeconomic processes that produce and sustain residential segregation in the United States. Drawing on demographic and computational methods, I study how racial and ethnic diversity unfolds across neighborhoods, how suburbanization reshapes metropolitan areas, and how long-run structural forces drive sorting and stratification.

Housing Markets and Online Platforms. A related line of work examines how digital platforms interact with neighborhood processes, reshaping housing access and reinforcing unequal outcomes. This research traces how platform-mediated transactions are embedded in existing structures of race and place.

Neighborhood Crime, Gangs, and Urban Change. Another active stream investigates the spatial and social dynamics of gang-involved violence, neighborhood disadvantage, and urban crime trends. Using administrative crime records and longitudinal neighborhood data, this research examines how concentrated disadvantage, residential instability, and gang structures shape patterns of violence in American cities.

Veteran Health, Housing Insecurity, and Community Well-Being. Supported by grants from the U.S. Department of Veterans Affairs and the Georgia Department of Veterans Service totaling over $10M, I lead and collaborate on projects examining the intersection of veteran status, housing instability, and mental health—with a particular focus on suicide prevention among veterans in Georgia. This research bridges sociology, public health, and social work to inform policy responses to veteran homelessness and crisis.

In addition to my empirical research, I develop open-source data infrastructure for social science, including Model Context Protocol (MCP) servers that connect AI assistants to public datasets such as the U.S. Census, CDC WONDER, and IPUMS—lowering the barrier to data-intensive research.

I am a faculty affiliate of the AMES Research Center at KSU. Prior to KSU I held postdoctoral positions at Rutgers–Camden and Cornell University. I received my PhD in Sociology from the University of Washington in 2019.