Matt Groh is a PhD student in the Affective Computing group at the MIT Media Lab where he is advised by Rosalind Picard. His research combines machine learning, affective computing, behavioral economics, and cognitive science. With a focus on human-machine collaborative decision-making, his current research examines the role of context in automated emotion recognition, how humans and machines compare in detecting deepfakes, and visual diagnosis of inflammatory skin conditions. Before MIT, Matt worked as a data scientist at early-stage startups (Expanse, RaiseMe), large-scale research organizations (World Bank, DARPA), a non-profit research organization (Innovations for Poverty Action), and co-founded a startup (Proprio Labs). 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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