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


Upcoming Talks

Upcoming MIA Talks

 

Check out our full fall 2024 talks list 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.


Organizers

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

MIA's efforts are driven by the Steering Committee: Lateisha Copeland-GuadarramaLauren Alex Golden, Marie-Madlen PustMartin Stražar, Nadya KarpovaOrr AshenbergPinar DemetciSalil Bhate (co-chair, Jan '23 - May '24)Eli BinghamSam Zimmerman, Sumaiya Iqbal, Suus BergenhenegouwenTavor Baharav and Alex Bloemendal (co-chair, Sept '15 - Jan '22)

Jon Bloom and Alex Bloemendal founded MIA in the fall of 2015.  

MIA Talks Search

Date Speaker Title
Sep 25
Lightning Talks
[Video]
Oct 2
  • MIA Steering Committee

Community Day
Oct 9
  • Faculty of Computing and Data Sciences, Boston University

Flux Balance Analysis and shadow prices in constrained optimization
[Video]
Oct 9
Modeling genotype to phenotype: a search for the right variables and the “natural” objects of selection
[Video]
Oct 16
  • Ph.D. student
    Department of Computer Science
    Yale University

Primer: Large Language Models and Biological Foundation Models
[Video]
Oct 16
  • Assistant Professor,
    Dept. of Computer Science & Dept. of Int. Medicine,
    Yale University

Single-cell analysis in the age of LLMs
[Video]
Oct 23
  • Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign

Using Advanced Molecular Dynamics Simulation Techniques to Characterize Large-Scale Conformational Transitions in Transporters
[Video]
Oct 23
  • Ashkan Fakharzadeh Ghaan

    Theoretical and Computational Biophysics Group, NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois, Urbana-Champaign

Using Advanced Molecular Dynamics Simulation Techniques to Characterize
[Video]
Oct 30
  • Assistant Professor of Applied Mathematics
    University of Massachusetts Boston

Primer: Tensor Methods for Omics Data Analysis
Oct 30
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C-ZIPTF: stable tensor factorization for zero-inflated multi-dimensional genomics data
Nov 6
  • Marnix Medema

    Bioinformatics Group, Wageningen University & Research

Deciphering the Chemical Language of Microbiomes
[Video]
Nov 6
  • Victoria Pascal

    Epigenetics in cancer and cell differentiation group in Germans Trias i Pujol Research Institute (IGTP)

Algorithms for metabolic pathway discovery and analysis in the human microbiome
[Video]
Nov 20
  • Abraham Gihawi

    University of East Anglia

Separating Fact from Fiction – Microbial DNA in Tumours