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You are here: Home / The AIRR Community / AIRR Community Working Groups / Machine Learning Working Group

Machine Learning Working Group

This Working Group was formed at in 2024 at Meeting VII in Porto, Portugal and aims to continue to advance the field by supporting robust benchmarking.

Goals

For 2022-2024:

  • Continue supporting Repertoire Classification competition
    • Promotion
    • Analysis
    • Post-competition manuscript
  • Continue supporting TCR binding prediction
    • IMMREP25 manuscript
    • Promotion
    • IMMREP26
  • Explore antibody benchmarking competition options
    • Discussions pending with 2 existing competition groups and 1 group planning a new competition

Products and/or resources

  • Competitions
  • Competition reports and articles
  • Enduring assets (datasets)
  • Promotional assets

Resource requirements

  • Need a mailing list management platform
  • Allow users to self-add / remove
  • Segment by interests
  • Calendar invitations
  • Currently looking at Gaggle

Members

C0-leads: Victor Greiff and Justin Barton

Members: Houda Alachkar, Dasha Balashova, Scott Christley, Brian Corrie, Lindsay Cowell, Gisela Gabernet, Brien Haun, Jamie Heather, Yu-Ning Huang, Shoeb Ikhlas, Jin Leem, Bivin Madraz, Oyunbileg Magvanjav, Quentin Marcou, Bharti Mittal, Tanzira Najnin, Felicia Ng, Mats Ohlin, Irene Ong, Minjae Park, Bjoern Peters, Sonal Rashmi, Eve Richardson, Krishna Roskin, Om Prakash Sharma, Josua Stadelmaier, Ulrik Stervbo, Alex Tihonoff, Shiyu Wang, Cédric Weber, Samuel Wollenburg, Gur Yaari

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