About the conference
The University of Texas at Austin
Biology is becoming increasingly programmable, while AI systems are becoming increasingly capable of designing, analyzing, and executing biological research. The convergence of these technologies creates both enormous scientific opportunity and a new class of security questions. This meeting focuses on that convergence: what biological AI systems can do, how their capabilities should be evaluated, where meaningful risks arise, and how safeguards can preserve the benefits of open scientific innovation.
The event is positioned as a technical and policy forum for understanding what increasingly capable biological AI systems can do, how their capabilities should be evaluated, and how safeguards can preserve the benefits of scientific innovation while reducing misuse and security risks.
Genomic foundation models, scientific research agents, protein and sequence design, automated laboratories, and increasingly autonomous discovery systems are changing what biological research can do and how quickly it can do it.
These capabilities create extraordinary opportunities for science and medicine. They also raise new questions about biological security, access to powerful capabilities, nucleic-acid synthesis screening, data security, model evaluation, and responsible deployment.
AI, Genomics, and Biosecurity brings together researchers, technology developers, industry leaders, policymakers, students, and biosecurity experts to examine how the scientific community can accelerate beneficial innovation while building effective safeguards for increasingly capable AI-enabled biological systems.
The meeting is a technical and policy forum, not a product showcase: what these systems can do, how their capabilities should be measured, and what safeguards preserve open science.
Organizer
Conference Organizer • Assistant Professor
The University of Texas at Austin
Ilias Georgakopoulos-Soares is an Assistant Professor at The University of Texas at Austin whose research integrates artificial intelligence, bioinformatics, computational biology, and genomics. His work spans genome biology, AI-enabled biological research, evaluation of biological AI systems, privacy-preserving genomics, and AI biosecurity.
Session chairs and programme committee members will be listed here once appointed.
Audience
Conference format
Invited talks · Technical sessions · Panels · Workshops · Poster and networking opportunities · Trainee engagement.
Registration opens in due course. Updates are announced by mailing list.