Models, Inference & Algorithms (MIA)
Due to new policies addressing COVID-19, MIA meetings are postponed for the time being.
Updates will be posted here and through our mailing list. Please visit our YouTube playlist in the meantime to view over 175 hours of past talks!
The Models, Inference & Algorithms (MIA) Initiative supports learning and collaboration across the interface of biology and 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 email@example.com to be added to our mailing list.
Jon Bloom and Alex Bloemendal founded MIA in Fall 2015. MIA's efforts are driven by the Steering Committee: Mehrtash Babadi, David Benjamin, Alex Bloemendal, Brian Cleary, Hilary Finucane, Sam Friedman, Aleksandrina Goeva, Allen Goodman, Dylan Kotliar, Ray Jones, James McFarland, Mollie Morg, Mor Nitzan, Yakir Reshef, Gopal Sarma, 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.