The University of Texas at AustinAustin, Texas
AI, Genomics,
and Biosecurity
Safeguarding the Future of Biological Innovation
- Duration
- Two days
- Scale
- 100–150 participants
- Host
- UT Austin
- Scope
- AI × Genomics × Biosecurity
Gold Sponsor
Twist Bioscience
Programming and speaker selection are determined independently by the organizer.
Where AI capability meets biological capability — and the safeguards needed to deploy both responsibly.
Input
AI capability
Foundation models, scientific agents, autonomous experimentation.
Input
Biological capability
Genomics, sequence design, synthesis, increasingly programmable biology.
Consequence
Safeguards & governance
Evaluation, screening, access controls, standards, oversight.
Bringing together leaders in artificial intelligence, genomics, synthetic biology, biosecurity, and policy to shape the safe development of increasingly capable biological AI systems.
Speakers
Launch roster
Joel Shor
Allen Institute / Move37 Labs
James Diggans, PhD
Twist Bioscience
Gigi Gronvall, PhD
Johns Hopkins Center for Health Security / Johns Hopkins Bloomberg School of Public Health
Ilias Georgakopoulos-Soares, PhD
The University of Texas at Austin
Additional speakers to be announced
Themes
Eight areas where AI capability, biological capability, safeguards, and governance meet.
AI for Biological Discovery
Scientific research agents, AI-assisted hypothesis generation, autonomous workflows, and AI-enabled experimentation.
Genomic Foundation Models
Foundation models for DNA, RNA, proteins, and multi-omics; capabilities, limitations, and emerging applications.
AI Capability Evaluation
How biological capabilities of frontier AI systems and agents should be measured before and after deployment.
Red-Teaming & Safeguards
Evaluation methodologies, access controls, monitoring, model safeguards, secure environments, and constraint adherence.
DNA Synthesis
Nucleic-acid screening, sequence-design systems, and safeguards at the interface between computational designs and physical biology.
Genomic Privacy
Privacy-preserving genomics, secure data access, training-set integrity, and protection of sensitive biological information.
Autonomous Laboratories
Opportunities and risks created by increasingly agentic systems connected to computational and experimental tools.
Governance
Scientific norms, industry standards, policy approaches, oversight mechanisms, and international coordination.
Preliminary programme
Two days
Monday, March 22
Opening & main sessions
- Opening reception and welcome
- Opening keynote / featured conversation
- Keynotes and technical sessions
- Panels
- Poster session
- Workshops
- Networking and evening event
Session times to be announced.
Tuesday, March 23
Security & governance
- Technical sessions
- Biosecurity exercises and workshops
- Governance and policy discussion
- Closing roundtable
- Next-steps discussion
Session times to be announced.
Detailed program and additional speakers will be announced shortly.
Full programmeWho should attend
An interdisciplinary room by design — the safeguards question cannot be answered from any one of these fields alone.
- Researchers
- AI developers
- Biosecurity
- Biotech
- Policy & funders
- Students & early career
Location
Austin, Texas
A research university with concentrated strength across computing, the life sciences, and public policy, in a city with a substantial biotechnology community.
- Institution
- The University of Texas at Austin
- City
- Austin, Texas
- Dates
- March 22–23, 2027
- Venue
- Announced soon
Sponsors and partners
Sponsors and partners
- Gold Sponsor
- Twist Bioscience
- Institutional partners
- Announced soon
Stay in the loop
Join conference updates
Registration, speakers, poster submissions, and travel-support announcements.
The mailing list opens soon.
It will carry announcements on registration, speakers, the programme, poster submissions, and travel support.
Conference organizer
Ilias Georgakopoulos-Soares, PhD
The University of Texas at Austin
Assistant Professor at The University of Texas at Austin, whose research integrates artificial intelligence, bioinformatics, computational biology, and genomics.