Models, Inference & Algorithms (MIA)
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.
MIA's efforts are driven by the Steering Committee: Mehrtash Babadi, Brian Cleary, Sam Friedman, Gopal Sarma (co-chair, Jul 2019 - Jan 2021), Anika Gupta, Ray Jones, James McFarland, Mollie Morg, Mor Nitzan, Max Shen, Emma Stickgold, and Elizabeth Wood.
Jon Bloom and Alex Bloemendal founded MIA in Fall 2015. Jon Bloom served as a co-chair through July 2019. Past Steering Committe members: Allen Goodman, Debora Marks, David Benjamin, Dylan Kotliar, 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.
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 email@example.com with questions and firstname.lastname@example.org to be added to our mailing list.