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

 

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


Meeting Details

Hosted by the Eric and Wendy Schmidt Center, MIA meetings feature a 9:00 am primer with breakfast, 10:00 am meeting, 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. 

Please complete this webform 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 MIA Playlist for past recordings.


Current Steering Committee and Organizers

Current co-chairs: Orr Ashenberg (since Sept '23), Pinar Demetci (since Jan '24).

MIA's efforts are driven by the Steering Committee: Orr AshenbergTavor Baharav, Jessika BaralSalil Bhate (co-chair, Jan '23 - May '24)Alex Bloemendal (co-chair, Sept '15 - Jan '22), Lateisha Copeland-GuadarramaSebastiano Cultrera di MontesanoPinar Demetci, Laura DrepanosLauren Golden, Sumaiya Iqbal, Tanvi Jain, DR ManiMarie-Madlen PustMartin StražarSam Zimmerman.

Admin: Suus BergenhenegouwenNadya Karpova, Jennifer Kratochwill.

Founders: Alex BloemendalJon Bloom (fall 2015).

MIA Talks Search

Spring 2025
Date Speaker Title
Feb 12
  • Aleksandra Walczak

    CNRS ENS

Immune repertoires: specificity and dynamics
[Video]
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
[Video]
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
[Video]
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
[Video]
Spring 2025
Mar 5
GeneTEA: gene-term enrichment with natural language processing Spring 2025
Mar 5
Comparing protein language models through embedding space comparison Spring 2025
Mar 5
Interpreting gene expression models with sparse autoencoders Spring 2025
Mar 5
Mapping the topography of spatial gene expression with interpretable deep learning Spring 2025
Mar 5
Identifying spatially variable genes by projecting to morphologically relevant coordinates Spring 2025
Mar 5
  • Berger Lab, MIT and Popic Lab, Broad Institute

Minimizer-space computation in genomics Spring 2025
Mar 12
Heterogeneous reconstruction in cryo-EM Spring 2025
Mar 12
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
  • Gokcen Eraslan

    ReLU, BRAID, Genentech

Nona, a novel multimodal masked modeling framework for functional genomics Spring 2025
Apr 2
  • Surag Nair

    ReLU, BRAID,Genentech

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

    Associate Professor, Aalto University

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

TBD Spring 2025
May 28
TBD Spring 2025