Generative and Experimental Perspectives for Biomolecular Design

Workshop at the 12th International Conference on Learning Representations

May 11, 2024, Vienna, Austria

About

Biomolecular design, through artificial engineering of proteins, molecules, and nucleic acids, holds immense promise in addressing pressing medical, industrial, and environmental challenges. While generative machine learning has shown significant potential in this area, a palpable disconnect exists with experimental biology: many ML research efforts prioritize static benchmark performance, potentially sidelining impactful real-world applications.

The Generative and Experimental perspectives in bioMolecular design (GEM) workshop seeks to bridge this gap by bringing computationalists and experimentalists together. Together, we will explore the strengths and challenges of generative ML in biology, experimental integration of generative ML, and pinpoint biological problems ready for ML.

GEM is collaborating with Cell Systems to allow exceptional submissions to be considered for fast-tracking in their journal. GEM features an in-silico generative machine learning track as well as an experimental track for papers that have wet lab results.

Our lineup features renowned scientists as speakers and emerging leaders as panelists, encapsulating a spectrum from high-throughput experimentation and computational biology to generative ML. With a diverse organizing team and backed by industry sponsors, we dedicate the workshop to pushing the boundaries of ML's role in biology.

GEM is an in-person workshop on May 11th, in Vienna, Austria, at ICLR’24.

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Logistics

Date and Location:

Our workshop will be held on May 11th 2024 at Halle A 2 in the Messe Wien Exhibition Congress Center.

Posters:

We have two poster sessions — one in the morning and another in the afternoon. Session assignments for each poster can be found here. Please put your posters up in the morning before the workshop and take them down when you leave. You are only expected to be by your poster during your assigned poster session, but we encourage one of your co-authors to always be present to maximize engagement. The poster assignment will soon be advertised on our website for attendees. Poster dimensions can be found here.

Schedule:

The schedule can be found on the ICLR workshop page. There may be changes to the speakers. Thanks to our sponsors, we will provide lunch catering with a set amount of lunchboxes. We also have an after party that everyone is welcome to attend. Details will be announced at the workshop.

Openreview:

All accepted submissions have now been made public and viewable. Reviews and discussions are not public. https://openreview.net/group?id=ICLR.cc/2024/Workshop/GEM

Call For Papers

GEM has two tracks: a machine learning track, and a biology track.

These topics include but are not limited to the following:

ML track

Generative ML advancements for biomolecular design with in silico results.

  • Inverse design of all biomolecules

  • Modeling biomolecular data

  • In silico benchmarks and oracles

Biology track

Biological problems and data ripe for generative ML and/or employment of ML for biomolecular design with wet lab experimental results.

  • Biological problems apt for ML applications

  • High-throughput data generation methods

  • Adaptive experimental design

  • In silico benchmarks and oracles

We are partnering with Cell Systems from Cell Press. Authors can opt to have their submissions considered for fast-tracking to Cell Systems. See below for more details.

Call for Submissions:

GEM workshop welcomes submissions in two formats:

  • Short papers: Both ML and Biology tracks. Up to 5 pages (excluding references & appendix).

  • Extended abstracts: Biology track only. Up to 2 pages, similar to standard biological conferences.

Papers and extended abstract should present novel work that has not been previously accepted at an archival venue at the time of submission.

The submissions, including extended abstracts, need to be anonymized and will be subjected to one round of double blind peer-review.

Short paper submissions must be formatted using the ICLR 2024 main conference template, replacing the style file with the GEM version. Short paper submissions that violate the GEM style may be rejected without further review. We recommend extended abstract submissions to be formatted using either the extended abstract template, or the LaTeX template above. The maximum file size for submissions is 50MB. 

Fast-track opportunity:

GEM will nominate accepted papers to be considered for expedited peer review at Cell Systems. In addition to the GEM reviewers, the Editors of Cell Systems, as well as potentially 1-2 additional reviewers will be actively engaged in the expedited review of any accepted papers being considered for publication in Cell Systems.

Presentation and Publication:

Accepted papers will be invited to present a poster at the workshop, and the organizers will nominate spotlight talks based on reviewer comments. This workshop is non-archival and does not publish proceedings except for any papers accepted at Cell Systems; however authors of accepted papers will have the option to make their work available through the workshop website.

We encourage submissions of:

  • Novel research concurrently in submission.

  • Encouraging work-in-progress results seeking feedback.

  • Forward-looking position papers sparking community discussion.

Submissions will be made through OpenReview.

The workshop will provide travel grants for authors who are from underrepresented groups and/or who need financial assistance. We will release a form so you may sign up.

Important Dates

Submission Deadline: 7th 3rd February 2024 11:59 PM (UTC-0)

* Paper submission deadline extended

Notification of Acceptance: 3rd March 2024

Camera-Ready Deadline: 15th April 2024 11:59 PM (AoE)

Workshop Date & Location: May 11th, 2024. Vienna, Austria

Invited Speakers & Panelists

Mohammed AlQuarishi

Columbia University

Debora Marks

Harvard Medical School

Lucy Colwell

Cambridge University, Google

Alex Rives

MIT, EvolutionaryScale

Noelia Ferruz

Institute of Molecular Biology of Barcelona

Rohit Singh

Duke University

Gevorg Grigoryan

Generate Biomedicines

Workshop Organizers

Students

Mila, McGill University, Dreamfold

Mila, Université de Montréal, Dreamfold

MIT

MIT

University of Washington

Caltech

Faculty

Duke University

MIT

MIT

University of Washington

Caltech

Mila, Université de Montréal

Our Sponsors

Medium Biosciences

FAQs

We will continue to update this list as we work further details. Please also check the ICLR homepage and ICLR FAQ for general question such as registration and traveling. For any questions not covered in the FAQ, feel free to email us at gembioworkshop@googlegroups.com.