The 2nd workshop on Generative AI and Biology


Welcome to the GenBio Workshop! Join us as we explore the exciting intersection of artificial intelligence and biology. Discover how generative AI is revolutionizing protein research, RNA analysis, molecular design, drug discovery, and more. This workshop is designed to be interactive and practical, equipping you with the skills to utilize generative AI tools in your own biological research. Engage in stimulating discussions and collaborate with experts from diverse backgrounds. Together, let's unlock the potential of generative AI for biology.

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Overview

Over the past year, generative AI models have led to tremendous breakthroughs, from image and text generation, to protein folding and design. These recent successes illustrate the incredible potential of generative AI not only for digital applications, but also for basic science and healthcare. We are now able to predict protein structure from sequence alone; to characterize the function and interactions of biomolecules; to design such molecules never-before-seen in nature; and more. The impacts are profound: through generative AI, we can systematically understand and reprogram biology at an unprecedented level.

The goals of this workshop are to bridge the gap between the machine learning and biological communities; to connect leading researchers from both industry and academia; and to gain critical insights into the future of generative-AI-driven biology. We look forward to your participation in this exciting discourse on the future of biology and AI.

Important information

All deadlines are 11:59 pm UTC -12h ("Anywhere on Earth"). All authors must have an OpenReview profile when submitting.

  • Submission Deadline: 25th May, 2025
  • Reviewer deadline: 6th June, 2025
  • AC decision deadline: 8th June, 2025
  • Author Notification: 9th June, 2025
  • Camera Ready Deadline: 6th July, 2025
  • Workshop Date: Friday, July 18, 2025

The workshop will be held on July 18 at Ex Hall A, East Building, Vancouver Convention Center, Vancouver, BC, Canada.

Call for Papers

We invite researchers, scientists, students, and industry professionals working in the domains of artificial intelligence, machine learning, computational biology, bioinformatics, and related areas to submit their original research or review papers. The scope of this workshop includes, but not limited to, the following topics.

  • Generative ML methods for biomolecular design with in silico results, including small molecule design, protein design, and design of other macromolecules such RNAs.
  • Generative AI for modeling biological systems (e.g., genes, cells, and tissues)
  • Novel generative AI algorithms and methods for representing and processing biological data and new modalities, including sequence, graph, and geometric modellings.
  • Foundation models and tools for biological research based on LLMs and AI Agents.
  • Integration of AI and experimental biology: AI-driven predictions and wet-lab in a close loop.
  • Interpretability of foundation models in biology (e.g., knowledge graphs, retrieval augmented generation).
  • Datasets and benchmarks for advancing AI-based biology research.

Submission Instructions

You are invited to submit your papers in our OpenReview submission portal.

Submissions can be either short papers (up to 4 pages) or long papers (up to 8 pages), exclusive of unlimited references and appendices following our LaTeX template (edited from ICML 2025 main conference paper template). The maximum size of submissions is 50 MB. While you may include supplementary material or appendices, note that reviewers are not required to evaluate these additional contents.

All submissions must be anonymous for double-blind review.

According to the ICML workshop guidelines, we do not encourage the re-submission of already-published papers, but you are allowed to submit ArXiv pre-prints or those currently under submission. Moreover, a work that is presented at the ICML main conference should not appear in a workshop. Please be sure to indicate conflicts of interest for all authors on your paper.

Accepted papers will be presented as posters during the poster sessions. Selected works will also be highlighted as Spotlight talks.

Speakers

David Baker
Prof.
David Baker

University of Washington
Jennifer Listgarten
Prof.
Jennifer Listgarten

UC Berkeley
James J. Collins
Prof.
James J. Collins

MIT
Mengdi Wang
Prof.
Mengdi Wang

Princeton
Marinka Zitnik
Prof.
Marinka Zitnik

Harvard
Eric P. Xing
Prof.
Eric P. Xing

CMU & MBZUAI

More invited speakers TBA.

Panelists

David Li-Bland

David Li-Bland

Genesis Therapeutics
Martin Renqiang Min

Martin Renqiang Min

NEC Labs
Arash Vahdat

Arash Vahdat

NVIDIA

Organizers

Minkai Xu
Minkai Xu
Stanford
Zhenqiao Song
Zhenqiao Song
CMU
Tingyang Yu
Tingyang Yu
EPFL
Wenxian Shi
Wenxian Shi
MIT
Seul Lee
Seul Lee
KAIST
Maria Brbic
Prof.
Maria Brbic

EPFL
Aditi S. Krishnapriyan
Prof.
Aditi S. Krishnapriyan

UC Berkeley
Lei Li
Prof.
Lei Li

CMU
Stefano Ermon
Prof.
Stefano Ermon

Stanford
Regina Barzilay
Prof.
Regina Barzilay

MIT

Sponsors