Dhaval Adjodah is a machine learning and policy researcher working on pushing the limits of modern machine learning while maximizing their social good. Dhaval’s PhD thesis was in computational social science and reinforcement learning during which he was also a member of the Harvard Berkman Assembly on Ethics and Governance in Artificial Intelligence, and a fellow at the Dalai Lama Center For Ethics And Transformative Values.
Previously, Dhaval worked as a data scientist in banking and insurance, as a consultant with the Veterans Health Administration, and founder of two startup incubators. He holds a masters degree from the Technology and Policy Program from the (now) Institute for Data, Systems and Society, and a bachelors in Physics, also from MIT.
In addition to the day-to-day work (machine learning engineering, running live online human experiments and writing papers), Dhaval enjoys being of service to the computer science and social science communities, most recently as a member of the organizing committee of the AI for Social Good conference workshop series, and on the program committees of the Black in AI initiative and Theoretical Foundations of Reinforcement Learning workshop.