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 meetings are open and pedagogical, emphasising lucid exposition of computational ideas over rapid-fire communication of results. Learn more about MIA and its history.

Upcoming Talks

Upcoming MIA Talks

 

Fall 2025 talk titles, speakers, and abstracts will continue to be updated below. 

Thank you for joining us for our MIA 10-Year Anniversary Celebration! Stay tuned for the recorded panel.

Watch - MIA Over the Last 10 Years.


Quick Links


Meeting Details

Hosted by the Eric and Wendy Schmidt Center, MIA meetings feature a 9:00 am primer with breakfast, 10:00 am seminar, and 10:50 am discussion. They are located at the Broad Institute in Acadia (75 Ames St., M1) unless noted otherwise, and virtually.

If you do not have a Broad badge, please arrive 10 minutes early to 75 Ames St. with an ID to check in with security. We will escort folks up at 8:55 and 9:55 am -- email mia-team@broadinstitute.org if you arrive outside of those times.

Please complete this webform to join our mailing list for event updates and Zoom links.


Current Steering Committee and Organizers

Current co-chairs: Orr Ashenberg (since Sept '23), Lauren Golden (since April '25).

MIA's efforts are driven by the Steering Committee: Orr AshenbergTavor Baharav, Jessika BaralSalil Bhate (co-chair, Jan '23 - May '24)Sebastiano Cultrera di MontesanoPinar Demetci (co-chair, Jan '24 - June '25), Laura DrepanosLauren GoldenSumaiya Iqbal, Tanvi Jain, Ruitong LiDR ManiMarie-Madlen PustAkshaya ThoutamSam Zimmerman.

Admin: Suus BergenhenegouwenNadya Karpova, Jennifer Kratochwill.

Founders: Alex BloemendalJon Bloom (fall 2015).

MIA Talks Search

Fall 2025
Date Speaker Title
Sep 24
Infrastructure and modeling challenges in single-cell omics Fall 2025
Sep 24
When more isn’t better: rethinking scale in single-cell foundation models Fall 2025
Oct 3
From Sequence to Structure: Fundamentals of Protein Sequence and Structure Analysis Fall 2025
Oct 3
Exploring the Protein Universe via Highly Accurate Structural Predictions Fall 2025
Oct 8
Ultra-secure computing with homomorphic encryption for genome privacy Fall 2025
Oct 8
Privacy-Preserving Approaches to Knowledge Discovery in Biomedicine Fall 2025
Oct 17
MIA 10-Year Anniversary Celebration Fall 2025
Oct 22
AI Agents for Biomedical Discovery: Specialized Builds and General Methods Fall 2025
Oct 22
A General-Purpose Biomedical AI Agent Fall 2025
Oct 29
Inferring transcription factor binding from base-pair level chromatin accessibility using deep learning contribution scores Fall 2025
Oct 29
Programmatic design and editing of cis-regulatory elements using deep learning Fall 2025
Nov 5
Permutation Enhances the Rigor of Genomics Data Analysis Fall 2025
Nov 5
  • Fred Hutchinson Cancer Center

mcRigor: a statistical method to enhance the rigor of metacell partitioning in single-cell data analysis Fall 2025
Nov 19
Predicting small-molecule binding sites in proteins using the pair representation of AlphaFold2 Fall 2025
Dec 10
Artifacts: Fact and Fiction Fall 2025