The NYU Algorithms, Data, and Public Policy Technology (ADAPPT) Lab aims to use technology to help government address urgent challenges. The lab devises new approaches in generative AI, machine learning, and statistics. They then integrate these methods into software they deploy with public sector partners.
The lab is led by director and founder, Dr. Alex Chohlas-Wood and co-director, Ravi Shroff. Recent projects include “Race-blind charging” and “Tackling the digital evidence explosion”.
Leadership
Ravi Shroff
Associate Professor of Applied Statistics; Program Director of Statistics and Computational Social Science
Researchers
Kaushik Mohan
Kaushik Mohan is a Ph.D student in the Statistics and Computational Social Science program at NYU. His research sits at the intersection of machine learning and social policy, where he develops tools to analyze the complexities of human trajectories, including career paths, life courses, and interactions with the criminal justice system.
Muskan Walia
Muskan Walia is a second-year PhD student in SCSS. Her research focuses on the development of artificial intelligence, machine learning, and scientific computing methods in collaboration with government agencies to tackle pressing social issues and improve institutional decision-making processes.