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.

Ghislaine is currently the product designer for the Mathesar project, which aims to help people collaborate, develop, and explore the potential of database technologies to meet the challenges of an increasingly complex world.

Peg has been an artist and a tech early adopter since childhood; she won her first drawing contest in kindergarten and learned how to program on an Apple //e in second grade. Working so closely with art and computers throughout her life, Peg believes that beauty isn’t just visual, it’s functional as well; you can have great beauty without technology, but you cannot have great technology if it doesn’t function beautifully.