While generative AI has revolutionized protein science, its application to genomics, specifically towards the ambition to engineer cellular and tissue states, remains at a critical, burgeoning but relatively underdeveloped frontier. Many approaches often involve retrofitting vision or language architectures to genomic data, which fall short of tackling domain-specific challenges. In parallel, multiple data generation efforts are underway to create foundational datasets capable of supporting the next generation of generative models that promise generalization across biological contexts.
Our workshop, Gen2: Generative AI in Genomics, aims to move beyond consensus narratives and critically engage with these domain-specific barriers and expanding frontiers for biological impact. Through debate-style panels, expert talks from both genomics and generative AI domains, and contributed presentations, we set out to shape an emerging field roadmap: from data generation priorities, to biologically grounded evaluation frameworks, and model designs that respect the hierarchical nature of genomic and cellular mechanisms. Following the workshop, we will synthesize these discussions and attendee presentations into a shared report that lays out a community-driven path forward. We welcome submissions that unearth domain-specific challenges and demonstrate new opportunities for generative AI applications in genomics.
Please check out our Call for Papers, submit your work, and join us at ICLR 2026 this April!
News
22 Dec 2025: We are recruiting reviewers! If you have a background in computational genomics and/or ML/AI and would be interested, please fill out our Reviewer Sign-Up Form.
2 Dec 2025: Our workshop submission was accepted to be held at ICLR 2026! We are working set up our OpenReview page for submissions. Stay tuned!
Speakers
Organizers
Names are listed in alphabetical order.
