Models, Inference & Algorithms (MIA)
Please email email@example.com with a line of introduction to receive our weekly emails, including all relevant details for upcoming talks.
MIA is fully virtual for the time being. We return to our original schedule unless otherwise noted on the website or in MIAcast:
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: Anika Gupta, Arnav Mehta, Brian Cleary, Elizabeth Wood, Emma Stickgold, Juan Caicedo, Martin Jankowiak, Marzieh Haghighi, Max Shen, Mehrtash Babadi, Mollie Morg, Mor Nitzan, Ray Jones, and Sam Friedman.
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, Gopal Sarma (co-chair, Jul 2019 - Jan 2021), James McFarland, 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.
Fall 2021 Schedule: 9am Primer, 10am Meeting, 10:50am Discussion unless noted otherwise, via Zoom. Please refer to our MIAcast (weekly email announcement) for Zoom meeting information. Email firstname.lastname@example.org with questions and email@example.com to be added to our mailing list.