Hugo Salas

Hugo Salas is a skilled data analyst with extensive experience in various organizations such as Recidiviz, the Harris School of Public Policy at the University of Chicago, and The World Bank. Currently, at Recidiviz since June 2022, Hugo applies data analysis techniques to support criminal justice reforms. At the Harris School, Hugo served as a Teaching Fellow and Graduate Tutor, instructing courses in statistics, machine learning, and programming. Previous roles include leveraging natural language processing for city services at Coding it Forward, leading causal inference analyses at The World Bank, and developing machine learning methods to enhance poverty measurement at Innovations for Poverty Action. Academic credentials include a Master of Science in Computational Analysis and Public Policy from the Harris School and a Bachelor's Degree in Public Policy from Centro de Investigación y Docencia Económicas A.C. Additionally, Hugo has contributed to various research projects and has been actively involved in mentoring and teaching initiatives.