Peter Mattingly is a Data Analyst for the Othering & Belonging Institute at the University of California, Berkeley. As a member of the Equity Metrics team, his work focuses on the application of computational programming to evaluate affordable and fair housing policies.
Peter specializes in econometrics and information visualization. His past research has focused on the performance of housing markets following exogenous shocks such as natural disasters, as well as socioeconomically vulnerable renters and small landlords during the COVID-19 pandemic.
Peter received master’s degrees in Applied Quantitative Research and Public Policy from NYU and holds a bachelor of arts in Sociology and Psychology from the University of Colorado at Boulder. In addition to his role at the Othering & Belonging Institute, he is an adjunct instructor of real estate at NYU’s Schack Institute of Real Estate.