MIA homepage: http://www.broadinstitute.org/mia

Models, Inference & Algorithms (MIA) is a new Broad initiative to support learning and collaboration across the interface of biology and mathematics / statistics / machine learning / computer science.

Our core activity is the Wednesday morning meeting in the Monadnock room (415 Main St, 2nd floor), featuring a method primer at 8:30, a main seminar with breakfast at 9:30, and a discussion with the speaker at 10:30. These meetings grew out of the Stat Math Reading Club (SMRC), a series of informal and pedagogical board talks; over a year and a half the talks attracted an ever-larger audience from Broad and the wider Boston community. With MIA we strive to maintain SMRC's essential character, emphasizing lucid exposition of broadly applicable ideas over rapid-fire communication of research results and encouraging questions from the audience throughout.

The MIA Initiative is led by Jon Bloom and Alex Bloemendal, in partnership with Cotton Seed, Anthony Philippakis, and Eric Banks. It is affiliated with the Data Sciences Platform, the Office of the Chair of the Faculty, and the MIT math department. Hilary Finucane leads the primer team. In addition to the weekly meeting there are a number of further MIA activities in the works; stay tuned!

Please contact mia-team@broadinstitute.org to be added to our mailing list. less