The Models, Inference & Algorithms (MIA) Initiative at the Broad Institute supports learning and collaboration across the interface of biology and medicine with mathematics, statistics, machine learning, and computer science. Our weekly meeting features a primer, breakfast, seminar, and discussion; these are open and pedagogical, emphasizing lucid exposition of computational ideas over rapid-fire communication of results. Other MIA functions include hosting workshops, developing educational resources, advising leadership, and supporting the computational community.
 

Write mia-team@broadinstitute.org to be added to our mailing list.
 

MIA's efforts are driven by the Steering Committee: Alex Bloemendal (co-chair), Aleksandrina Goeva (co-chair), Gopal Sarma (co-chair), Mehrtash Babadi, Brian Cleary, Sam Friedman, Allen Goodman, Anika Gupta, Dylan Kotliar, Ray Jones, Debora Marks, James McFarland, Mollie Morg, Mor Nitzan, Max Shen, Emma Stickgold, and Elizabeth Wood.

Jon Bloom and Alex Bloemendal founded MIA in Fall 2015. Past Steering Committe members: David Benjamin, Jon Bloom, Hilary Finucane, Sam Riesenfeld, Yakir Reshef, and Aviad Tsherniak.

MIA Overview: Watch this introduction to the past, present, and future of MIA, and how you can help drive the fusion of machine learning and biomedicine. Check out the Kendall Square Codebreakers in the Harvard Crimson.

MIA Playlist: Watch and share our growing library of MIA videos.

Talking Machines: Listen to interviews with Eric Lander, Aviv Regev, and Nick Patterson.

Spring 2021 Schedule:  10am Primer, 11am Seminar unless noted otherwise, all via Zoom. Please refer to our MIAcast (weekly email announcement) for Zoom meeting information. Email morg@broadinstitute.org with questions and mia-team@broadinstitute.org to be added to our mailing list.