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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.

 

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

MIA's efforts are driven by the Steering Committee: Anika GuptaArnav MehtaBrian ClearyElizabeth Wood, Emma Stickgold, Juan CaicedoMartin JankowiakMarzieh HaghighiMax ShenMehrtash Babadi, Mollie Morg, Mor NitzanRay Jones, and Sam Friedman.

Jon Bloom and Alex Bloemendal founded MIA in Fall 2015. Jon Bloom served as a co-chair through July 2019. Past Steering Committe members: Allen GoodmanDebora MarksDavid BenjaminDylan KotliarGopal Sarma (co-chair, Jul 2019 - Jan 2021), James McFarlandJon 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 2022 Schedule: 9am Primer, 10am Meeting, 10:50am Discussion unless noted otherwise, 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 Title
Jan 19
Primer: Comparing gene expression data across species using evolutionary methods (note: 10am start)
Jan 19
  • Depts. of Organismic and Evolutionary Biology, Molecular and Cellular Biology, Harvard University; Howard Hughes Medical Institute
Developing a systems approach to understanding adaptive evolutionary change using Hawaiian Drosophila as a model clade (note: 11am start)
Jan 26
NO MEETING THIS WEEK
Feb 2
Primer: Canonical correlation analysis and the structure of psychedelic experience; Towards a neurophenomenological cartography of the cortex
Feb 2
Trips and neurotransmitters; Discovering principled patterns across 6850 hallucinogenic experiences
Feb 9
Primer: TBD
Feb 9
TBD
Feb 16
  • Computational Biology and Data Science group, Vesalius Therapeutics
Primer: Clarifying confusion in scRNA-seq analysis
Feb 16
  • Dept. of Human Genetics, and the Research Computing Center, University of Chicago
Learning the "parts" of cells using topic models
Feb 23
NO MEETING THIS WEEK
Mar 2
  • Center for Research in Economics and Statistics, Institut Polytechnique de Paris; Google Brain
Primer: TBD
Mar 2
  • Dept. of Computational Health, Helmholtz Munich; Dept. of Mathematics, Technical University of Munich
TBD
Mar 9
  • Raychaudhuri Lab, Harvard Medical School; Brigham and Women’s Hospital
Primer: TBD
Mar 9
  • Raychaudhuri Lab, Bioinformatics and Integrative Genomics Program, Harvard Medical School
TBD
Mar 16
NO MEETING THIS WEEK
Mar 23
NO MEETING THIS WEEK
Mar 30
Primer: TBD
Mar 30
TBD
Apr 6
Primer: TBD
Apr 6
  • Deep Learning Group, Microsoft Research
TBD
Apr 13
Primer: TBD
Apr 13
TBD
Apr 20
NO MEETING THIS WEEK
Apr 27
Primer: TBD
Apr 27
  • Dept. of Molecular Cell Biology, Weizmann Institute of Science
TBD
May 4
Primer: TBD
May 4
  • Division of Computational Pathology, Brigham and Women’s Hospital, Harvard Medical School; Massachusetts Institute of Technology
TBD
May 11
Primer: TBD
May 11
TBD
May 18
NO MEETING THIS WEEK
May 25
Primer: TBD
May 25
TBD