Models, Inference & Algorithms (MIA)
In light of continuing physical distancing, MIA meetings for spring 2021 will be held via Zoom.
As always, meetings will include real-time questions—including direct verbal interaction—as well as an optional discussion following the seminar. Stay tuned for details.
We’ll be launching with a new start time of 10am ET (unless noted otherwise):
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 firstname.lastname@example.org to be added to our mailing list.
MIA's efforts are driven by the Steering Committee: Mehrtash Babadi, Brian Cleary, Sam Friedman, Allen Goodman, Gopal Sarma (co-chair, Jul 2019 - Jan 2021), Anika Gupta, Dylan Kotliar, 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: Debora Marks, 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.
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.