Skip to main content
AI, Genomics & Biosecurity

Conference themes

The technical scope

Eight areas where AI capability, biological capability, safeguards, and governance meet. Together they define the intellectual identity of the meeting.


The University of Texas at Austin

  1. AI for Biological Discovery

    Scientific research agents, AI-assisted hypothesis generation, autonomous workflows, and AI-enabled experimentation.

  2. Genomic & Biological Foundation Models

    Foundation models for DNA, RNA, proteins, and multi-omics; capabilities, limitations, and emerging applications.

  3. AI Capability Evaluation

    How biological capabilities of frontier AI systems and agents should be measured before and after deployment.

  4. Red-Teaming & Safeguards

    Evaluation methodologies, access controls, monitoring, model safeguards, secure environments, and constraint adherence.

  5. DNA Synthesis & the Digital-to-Physical Frontier

    Nucleic-acid screening, sequence-design systems, and safeguards at the interface between computational designs and physical biology.

  6. Data Security & Genomic Privacy

    Privacy-preserving genomics, secure data access, training-set integrity, and protection of sensitive biological information.

  7. Autonomous Laboratories & Research Automation

    Opportunities and risks created by increasingly agentic systems connected to computational and experimental tools.

  8. Governance & Responsible Innovation

    Scientific norms, industry standards, policy approaches, oversight mechanisms, and international coordination.

Sessions across these themes are being developed with the speaker roster.

View programmeJoin updates