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

Prof.
David Baker
University of Washington

Prof.
Jennifer Listgarten
UC Berkeley

Prof.
James J. Collins
MIT

Prof.
Mengdi Wang
Princeton

Prof.
Marinka Zitnik
Harvard

Prof.
Eric P. Xing
CMU & MBZUAI
More invited speakers TBA.
Panelists

David Li-Bland
Genesis Therapeutics

Martin Renqiang Min
NEC Labs

Arash Vahdat
NVIDIA
Organizers
Sponsors