Models, Inference & Algorithms (MIA)

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.


Current co-chairs:Salil Bhate (since Jan 2023) Orr Ashenberg (since Sep 2023) & Pinar Demetci (since Jan 2024).

MIA's efforts are driven by the Steering Committee: Aleksandrina Goeva (Jan 2021 - Dec 2022) Alex Bloemendal (co-chair, Fall 2015 - Jan 2022), Lateisha Copeland-GuadarramaElizabeth Wood, Emma Stickgold, Marzieh HaghighiMor NitzanRay Jones, and Sam Friedman, Wengong Jin, Salil Bhate, Orr Ashenberg, Eli Bingham, Matthew Amodio, David Fischer, Ashley Conard.

Jon Bloom and Alex Bloemendal founded MIA in the Fall of 2015. Jon Bloom served as a co-chair through July 2019. Past Steering Committee members: Allen GoodmanDebora MarksDavid BenjaminDylan KotliarGopal Sarma (co-chair, Jul 2019 - Jan 2021), James McFarland, Jon Bloom, Hilary FinucaneSam RiesenfeldYakir Reshef, Aviad Tsherniak, Max Shen, Brian Cleary, Mollie Morg, and Anika GuptaMartin Jankowiak, Arnav Mehta.

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.

MIA Playlist: Watch and share our growing library of MIA videos.

Talking Machines: Listen to interviews with Eric LanderAviv Regev, and Nick Patterson.

Spring 2024 Schedule: 9 am Primer, 10 am Meeting, 10:50 am Discussion unless noted otherwise, in-person in 75A-M1-Acadia. Please refer to our MIAcast (weekly email announcement) for Zoom meeting information. Email with questions and to be added to our mailing list.

MIA Talks Search

Date Speaker Title
Feb 14
  • Pascal Notin

Hybrid protein language models for fitness prediction and design
Feb 14
Unsupervised viral antibody escape prediction for future-proof vaccines
Mar 6
Postdoc flash talks
Mar 13
  • Žiga Avsec

    Google DeepMind

Alpha Missense
Mar 20
  • University of British Columbia, Department of Statistics

Data thinning to avoid double dipping
Mar 20
  • Yiqun Chen

Valid hypothesis testing after clustering
Apr 3
  • Julia Salzman

Apr 3
  • Postdoctoral fellow Eric and Wendy Schmidt Center Broad Institute

Unbiased biological discovery without a reference genome
Apr 10
  • Aparna Nathan

    Raychaudhuri Lab, Division of Genetics/Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital; Department of Biomedical Informatics, Harvard Medical School

Apr 10
  • Jose Alquicira-Hernandez

Apr 24
  • Neriman Tokcan

    UMass Boston

Tensor factorization (TBD)
May 1
  • Sergey Ovchinnikov

Protein Structure Prediction (TBD)
May 8
  • Joshua Meier

May 29
  • Marinka Zitnik

    Harvard University and Stanford Unviersity