Models, Inference & Algorithms (MIA)

The Models, Inference & Algorithms (MIA) Initiative at the Ó³»­´«Ã½ 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, emphasizing lucid exposition of computational ideas over rapid-fire communication of results. Learn more about MIA and its history.


Upcoming Talks

Upcoming MIA Talks

 

See spring 2026 talk titles, speakers, and abstracts below.


Quick Links

  • Email mia-team@broadinstitute.org to join our mailing list (and for questions).
  • Watch our past talks in the .
  • Watch our .
  • Catch up with .

Meeting Details

Hosted by the , MIA meetings feature a 9:00 am primer with breakfast, 10:00 am seminar, and 10:50 am discussion. They are located at the Ó³»­´«Ã½ in Acadia (75 Ames St., M1) unless noted otherwise and virtually.

If you do not have a Ó³»­´«Ã½ 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 am and 9:55 am -- email mia-team@broadinstitute.org if you arrive outside of those times.

Please email mia-team@broadinstitute.org to join our mailing list for event updates and Zoom links.


Current Steering Committee and Organizers

Current co-chairs:  (since Sept '23),  (since April '25).

MIA's efforts are driven by the Steering Committee: , , , ,  (co-chair, Jan '23 - May '24), ,  (co-chair, Jan '24 - June '25), , , Sumaiya Iqbal, , , DR Mani, , , , , Yuna Zhang, .

Admin: , , .

Founders: Alex Bloemendal,  (fall 2015).

MIA Talks Search

Spring 2026
Date Speaker Title
Feb 4
  • University of British Columbia

Characterizing homology-induced data leakage and memorization in genome-trained sequence models Spring 2026
Feb 4
  • University of British Columbia

More robust data, models, and benchmarks to solve the genome regulation code Spring 2026
Feb 11
  • Harvard T.H. Chan School of Public Health

FlowMap: Geometry-Preserving Embedding of RNA Velocity Spring 2026
Feb 11
  • Harvard T. H. Chan School of Public Health

Modern Nonlinear Embedding Methods Unpacked: Empowering Biological Discoveries with Statistical Insights Spring 2026
Mar 4
  • Duke University

Physics-constrained models for microbial community inference Spring 2026
Mar 4
  • Duke University

Predicting and programming microbial communities across scales Spring 2026
Mar 18
  • Johns Hopkins University

Understanding Spatial Transcriptomics and Evaluating Probe Accuracy in 10x Genomics Xenium Technology Spring 2026
Mar 18
  • Johns Hopkins University

Comparative Spatial Transcriptomics Analysis Spring 2026
Apr 1
  • Arc Institute

STATE: Predicting cellular responses to perturbation across diverse contexts Spring 2026
Apr 1
  • Arc Institute

Engineering cell state using artificial intelligence Spring 2026
Apr 15
  • Harvard University

AI agents in biomedical research Spring 2026
Apr 15
  • Harvard University

Evaluating the autonomous and copilot limitations of AI agents for biological discovery Spring 2026
Apr 22
  • Brown University

Mapping phenotypes to spatial transcriptomics reveals disease-associated microenvironments with PhAST Spring 2026
Apr 22
  • Brown University

Resolving Tissue Maps: Statistical and Deep Learning Methods for Integrative Spatial Omics Across Samples, Sections, and Modalities Spring 2026
May 6
  • Harvard Medical School

Primer Spring 2026
May 6
  • Harvard Medical School

A global microbiome axis underlying susceptibility to immune-mediated diseases Spring 2026
May 13
  • Institute for Computational Biomedicine, Heidelberg University

Learning, Predicting, and Interpreting Omics Data with Biologically Informed Models Spring 2026
May 20
  • Boston University

Parameter representations outperform single-cell foundation models on downstream tasks Spring 2026
May 27
  • Eric and Wendy Schmidt Center, Ó³»­´«Ã½

  • Harvard Medical School, Hacohen Lab, Pinello Lab, Ó³»­´«Ã½

  • Raghavan Lab, Dana-Farber Cancer Institute/Ó³»­´«Ã½

  • Iqbal Lab, Ó³»­´«Ã½

    Talk title: Exploring cryptic binding sites in observable proteome using Protein language model

  • Statistics, Harvard University

    Talk title: Distribution-Conditioned Transport

Flash talks Spring 2026
Jun 3
  • Washington University School of Medicine

Talk title coming soon Spring 2026