Models, Inference & Algorithms (MIA)
In light of continuing physical distancing, MIA meetings for fall 2020 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: Alex Bloemendal (co-chair), Gopal Sarma (co-chair), Mehrtash Babadi, Brian Cleary, Sam Friedman, Aleksandrina Goeva, Allen Goodman, Anika Gupta, Dylan Kotliar, Ray Jones, Debora Marks, James McFarland, Mollie Morg, Mor Nitzan, Max Shen, Emma Stickgold, and Elizabeth Wood.
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 2020 Schedule: 10am Primer, 11am Seminar unless noted otherwise, all via Zoom. Please refer to the 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.