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 interest lies at the intersection of machine learning, affective computing, behavioral economics, and cognitive science. He builds experiments and technology to reveal insights in decision-making under uncertainty with an emphasis on how to support human decisions with machine predictions. Under the umbrella of human-machine collaborative decision-making, his current research spans emotion recognition, deepfake detection, telemedicine diagnosis, and management communication. 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.