Generative and Experimental Perspectives for Biomolecular Design

Workshop at the 40th Conference on Neural Information Processing Systems

Dec 13, 2026, Atlanta, United States of America

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 biomolecular design, experimental integration of generative ML, and pinpoint biological problems ready for ML.

GEM features two tracks of submission: an in-silico generative machine learning track, and an experimental track for any papers that have wet lab results.

GEM hosts a Seed Grant competition to promote dry-wet lab collaborations. GEM is also providing travel grants for students from underrepresented communities, please see FAQ.

Our lineup features renowned scientists as panelists and emerging leaders as speakers, 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 Dec 13th in Atlanta in USA at NeurIPS’26.

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Call For Papers

GEM has two tracks: a dry-lab track, and a wet-lab track.

These topics include but are not limited to the following:

Dry-lab track

Generative ML advancements for biomolecular design with only in silico results.

  • Inverse design of all biomolecules

  • Modelling biomolecular data

  • Model interpretability

Wet-lab track

Any work containing experimental results.

  • Generative ML with experimental results on a biological/chemical problem.

  • High-throughput data methods

  • Active learning

  • Benchmarks, datasets, and oracles

Call for Submissions:

GEM workshop welcomes submissions in two formats:

  • Short papers: Both Dry- and Wet-lab tracks. Up to 5 pages (excluding references & appendix).

  • Extended abstracts: Wet-lab track only. Up to 2 pages, similar to standard biology/chemistry 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 NeurIPS 2026 main conference template, replacing the style file with the GEM version. 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. 

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. However, camera ready versions of accepted papers will appear in OpenReview unless the authors specifically request otherwise.

We encourage submissions of:

  • Novel research concurrently in submission.

  • Promising 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 in March 2025.

Reviewer self-nomination: If you would like to sign up to be a reviewer for GEM@NeurIPS2026, please fill out this form! If you have reviewed for previous iterations of GEM, you do not need to sign up again.

Important Dates

Submission Deadline: 30th August 2026, 11:59 PM (Anytime on Earth)

Notification of Acceptance: 11th October 2026

Camera-Ready Deadline: 25th November 2026, 11:59 PM (Anytime on Earth)

Workshop Date & Location: 13th December, 2026. Atlanta, United States of America

Seed Grants

This year, with the generous support of our sponsors, we are launching small ‘seed grants’ (USD $1,000 each) to catalyze new collaborations between experimental and computational researchers attending the workshop. The goal is to create meaningful, interdisciplinary partnerships between dry and wet lab, and to provide small initial support for promising projects that align with cutting-edge biological challenges and AI-driven solutions.

We will publicize a dedicated a "matchmaking" social event during the main conference, where participants with overlapping research interests can connect and brainstorm potential projects. Following this session, teams (2-4 people, at least 2 different institutions) will be invited to submit concise, half-page proposals and one slide presentations outlining their project idea, collaboration plan, and expected outcomes. The proposals will be pitched to our speakers, panelists, and sponsors during the second poster session. Seed grants will be awarded based on the novelty of the idea, alignment with the workshop's themes, feasibility, and potential for impact. Selected awards will be announced publicly before the closing remarks. Funds will be disbursed after the workshop to the institutions to support project initiation. To further incentivize progress, we plan to invite the awardees back for short talks at the potential 2027 edition of the workshop, where they can share insights, showcase results, and inspire the next wave of AI and biology collaborations. See FAQ for more information.

Invited Speakers & Panelists: TBA

Workshop Organizers

Caltech, FutureHouse

Caltech, Mila, Université de Montréal

MIT

Genentech

University of Washington

University of Pennsylvania

University of Pennsylvania

Mila, Université de Montréal, LawZero

Braidwell

Our Sponsors

FAQs

We will continue to update this list as we work out 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.