معرفی
Alex Chohlas-Wood is an Assistant Professor of Computational Social Science at New York University’s Steinhardt School of Culture, Education, and Human Development. His work bridges computational methods with public policy, focusing on algorithmic fairness, criminal justice reform, and equitable decision-making frameworks. He holds a Ph.D. in Computational Social Science from Stanford University, an M.S. in Applied Urban Science from NYU CUSP, and a B.A. in Studio Art from Carleton College.
His research emphasizes practical applications of AI to reduce bias in legal systems, including prototyping algorithms to mitigate racial disparities in charging decisions and testing behavioral nudges to reduce incarceration rates. Supported by organizations like the MacArthur Foundation and Arnold Ventures, his work has directly influenced state and local policymaking.
As faculty co-director of the Computational Policy Lab since 2018 and former director of analytics for the New York City Police Department, he leads interdisciplinary teams collaborating with government agencies to design evidence-based solutions. His publications span topics from equitable algorithm design to policing practices analysis.
