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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 meeting features a primer, breakfast, seminar, and discussion; these are open and pedagogical, emphasizing lucid exposition of computational ideas over rapid-fire communication of results. Other MIA functions include hosting workshops, developing educational resources, advising leadership, and supporting the computational community.
 

Write mia-team@broadinstitute.org to be added to our mailing list.
 

Current co-chairs: Alex Bloemendal (since fall 2015), Aleksandrina Goeva (since Jan 2021)

MIA's efforts are driven by the Steering Committee: Mehrtash BabadiBrian ClearySam FriedmanAllen Goodman, Gopal Sarma (co-chair, Jul 2019 - Jan 2021), Anika GuptaDylan KotliarRay JonesJames McFarland, Mollie Morg, Mor NitzanMax Shen, Emma Stickgold, and Elizabeth Wood.

Jon Bloom and Alex Bloemendal founded MIA in Fall 2015. Jon Bloom served as a co-chair through July 2019. Past Steering Committe members: Debora MarksDavid BenjaminJon Bloom, Hilary FinucaneSam RiesenfeldYakir Reshef, and Aviad Tsherniak.


MIA Overview: Watch this introduction to the past, present, and future of MIA, and how you can help drive the fusion of machine learning and biomedicine. Check out the Kendall Square Codebreakers in the Harvard Crimson.


MIA Playlist: Watch and share our growing library of MIA videos.


Talking Machines: Listen to interviews with Eric LanderAviv Regev, and Nick Patterson.

Spring 2021 Schedule:  10am Primer, 11am Seminar unless noted otherwise, all via Zoom. Please refer to our MIAcast (weekly email announcement) for Zoom meeting information. Email morg@broadinstitute.org with questions and mia-team@broadinstitute.org to be added to our mailing list.

Date Speaker Affiliations Title
Jan 27 [Video]
  • Depts. Organismic and Evolutionary Biology, Physics, Harvard University
Primer: Genomic investigations of evolutionary dynamics and epistasis in microbial evolution experiments
Jan 27 [Video]
  • NSF-Simons Center for Mathematical and Statistical Analysis of Biology; Harvard University
Predictable patterns in phenotypic evolution
Feb 3
No primer
Feb 3
  • Computational & Systems Biology Program, Memorial Sloan Kettering Cancer Center
The 3D genome and predictive models of gene regulation
Feb 10
No primer
Feb 10 [Video]
  • Pyro Team, Broad Institute
Bayesian methods for adaptive experimental design
Feb 17
NO MEETING THIS WEEK
Feb 24 [Video]
  • Dept. Computer Science, Harvard University
Primer: Locality sensitive hashing: A sort of history and introduction
Feb 24 [Video]
  • Sabeti Lab, Broad Institute
Viral diagnostic design with model-based optimization
Mar 3
  • Van Valen Lab, California Institute of Technology
Primer: Integrating heterogeneous measurements in single cells
Mar 3
  • Division of Biology and Biological Engineering, California Institute of Technology
Single-cell biology in a software 2.0 world
Mar 10
  • Center for Communicable Disease Dynamics, Harvard Chan School of Public Health
Primer: Using viral loads and within-host models to improve COVID-19 surveillance
Mar 10
  • Dept. of Statistics, Wharton School, University of Pennsylvania
Simple, flexible and effective pooled testing via hypergraph factorization
Mar 17
NO MEETING THIS WEEK
Mar 24
Primer: TBD
Mar 24
TBD
Mar 31
  • Broad Institute
Primer: TBD
Mar 31
  • Tutte Institute for Mathematics and Computing
TBD
Apr 7
  • TBD
Primer: TBD
Apr 7
  • Loh Lab, Harvard Medical School; Division of Genetics, Brigham and Women's Hospital; Broad Institute
TBD
Apr 14
  • TBD
Primer: TBD
Apr 14
  • TBD
TBD
Apr 21
NO MEETING THIS WEEK
Apr 28
  • TBD
Primer: TBD
Apr 28
  • Paul Allen School of Computer Science and Engineering, University of Washington
TBD
May 5
  • TBD
Primer: TBD
May 5
  • Marks Lab, Harvard Medical School; Harvard University
TBD
May 12
  • Bioinformatics and Integrative Genomics Program, Harvard Medical School
Primer: TBD
May 12
  • Dept. of Biomedical Informatics, Harvard University; Broad Institute
TBD
May 19
  • Van Allen Lab, Dana-Farber Cancer Institute; Harvard Medical School
Primer: TBD
May 19
  • Broad Institute; Harvard Medical School; Dana-Farber Cancer Institute
TBD
May 26
  • TBD
Primer: TBD
May 26
  • Depts. of Statistics and Computer Science, Stanford University; Microsoft Research New England
TBD