Gerard Torrats-Espinosa

Gerard Torrats-Espinosa is an Assistant Professor in Sociology at Columbia University and a member of the Data Science Institute. He uses causal inference and machine learning methods to study urban inequality, violence, and racial disparities in policing. His work has been published in the American Sociological Review, Child Development, Demography, the Journal of Urban Economics, the Proceedings of the National Academy of Sciences, and Social Science & Medicine among other peer-reviewed journals. Findings from his research have been featured in The New York Times, The Washington Post, and Bloomberg.

Professor Torrats-Espinosa received his Ph.D. in Sociology from New York University in 2019, a Master’s in Public Policy from the Harvard Kennedy School of Government in 2014, and a B.S. in Engineering from the Polytechnic University of Catalonia in 2004. Before graduate school, he was a firefighter at Barcelona Fire Department from 2007 to 2011. In his free time, he enjoys running, cycling, and hiking.