Matt Groh is a PhD student in the Affective Computing group at the MIT Media Lab where he is advised by Rosalind Picard. Matt’s research explores human-machine collaborative decision-making and how to use machine predictions to understand human behavior and extend intelligence. His current research examines the role of context in automated emotion recognition, the cognitive science of detecting deepfakes, and visual diagnosis of inflammatory skin conditions. Before MIT, Matt cofounded Proprio Labs, worked as a data scientist at Qadium, RaiseMe, and DARPA, and worked as a research assistant at Innovations for Poverty Action and the World Bank. Matt has a master’s degree in Media Arts and Sciences from MIT and a bachelor’s degree from Middlebury College where he majored in economics and minored in Arabic and mathematics.

Check out Matt’s Substack, Google Scholar, Linkedin, Github, and Twitter.

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