Taylor studies racial and economic inequality using quantitative and computational methods, with particular interests in housing, neighborhoods, crime, policing, technology, and algorithms. His current research project is using urban mobility data to measure changes in neighborhood travel in New York in response to local violent policing, with a specific focus on third places and activity spaces. His methodological approaches range in interest, from time series analysis and causal inference from observational data to GIS and spatial data science.

Taylor is also working on various collaborations, exploring topics such as the transition from residential segregation to movement segregation or the impact of police violence and on social attitudes towards systemic racism.