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


Upcoming Talks

Upcoming MIA Talks

 

Spring 2025 talk titles, speakers, and abstracts will continue to be updated below.  and watch our past talks in the .

Catch up with our .


Meeting Details

Hosted by the , MIA meetings feature a 9:00 am primer with breakfast, 10:00 am meeting, 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 and 9:55 am. 

Please to join our mailing list for event updates and to receive Zoom links for viewing the talks virtually.

Email mia-team@broadinstitute.org to be escorted up if you arrive outside of the pickup times or if you have any questions.

Check out the  for past recordings.


Current Steering Committee and Organizers

Current co-chairs:  (since Sept '23),  (since Jan '24).

MIA's efforts are driven by the Steering Committee: , , ,  (co-chair, Jan '23 - May '24)Alex Bloemendal (co-chair, Sept '15 - Jan '22), , , , , , Sumaiya Iqbal, , DR Mani, , , .

Admin: , , .

Founders: Alex Bloemendal,  (fall 2015).

MIA Talks Search

Spring 2025
Date Speaker Title
Feb 12
  • Aleksandra Walczak

    CNRS ENS

Immune repertoires: specificity and dynamics
[]
Spring 2025
Feb 12
  • Andrea Mazzolini

    Laboratoire de Physique de l'École Normale Supérieure (LPENS), Paris, France

Extracting dynamical properties of the immune repertoire from noisy sequencing data
[]
Spring 2025
Feb 26
  • University of Maryland - College Park -- Department of Computer Science and Center for Bioinformatics and Computational Biology

Counting is not easy: Assessing and quantifying uncertainty in abundance inferences from high-throughput sequencing data
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Spring 2025
Feb 26
  • University of Maryland -- Department of Computer Science and Center for Bioinformatics and Computational Biology

Uncertainty-aware analysis of RNA-Seq data using a tree-based framework
[]
Spring 2025
Mar 5
  • Cancer Data Science, Ó³»­´«Ã½

GeneTEA: gene-term enrichment with natural language processing Spring 2025
Mar 5
  • Iqbal Lab | Ladders 2 Cures Accelerator, Ó³»­´«Ã½

Comparing protein language models through embedding space comparison
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Spring 2025
Mar 5
  • Eric and Wendy Schmidt Center, Ó³»­´«Ã½

Interpreting gene expression models with sparse autoencoders
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Spring 2025
Mar 5
  • Irizarry Lab, Harvard School of Public Health

Identifying spatially variable genes by projecting to morphologically relevant coordinates
[]
Spring 2025
Mar 5
  • Eric and Wendy Schmidt Center, Ó³»­´«Ã½

Mapping the topography of spatial gene expression with interpretable deep learning
[]
Spring 2025
Mar 5
  • Berger Lab, MIT and Popic Lab, Ó³»­´«Ã½

Minimizer-space computation in genomics Spring 2025
Mar 12
  • Princeton University Department of Computer Science

Heterogeneous reconstruction in cryo-EM Spring 2025
Mar 12
  • Princeton University 

Machine learning for visualizing structural landscapes inside the cell Spring 2025
Mar 19
  • Head of Science & Co-Founder at FutureHouse,
    Associate Professor of Chemical Engineering at University of Rochester

A progress report on the automation of science Spring 2025
Mar 19
  • Member of Technical Staff at FutureHouse,
    Ph.D. Candidate at University of Rochester

Automating scientific discovery at scale Spring 2025
Apr 2
  • Principal ML Scientist (Group Leader)

    ReLU,

A primer on DNA foundation modeling Spring 2025
Apr 2
  • Senior ML Scientist
    ReLU,

Nona, a novel multimodal masked modeling framework for functional genomics Spring 2025
Apr 9
  • Alexandru Dumitrescu

    Aalto University

  • Dani Korpela

    Aalto University

Diffusion for molecule generation Spring 2025
Apr 9
  • Harri Lähdesmäki

    Aalto University

Structured variational autoencoders for prediction and optimization Spring 2025
May 14
  • Ophelia Venturelli

TBD Spring 2025
May 21
  • Google DeepMind

Diffusion models, Schrodinger bridges and applications in bio Spring 2025
Spring 2025
Date Speaker Title
May 28
  • Harvard Division of Medical Sciences

Multimodal, Generative, and Agentic AI for Pathology Spring 2025