📅 Date: Monday, 24 November 2025

📍 Location: Adelaide Oval, Adelaide, SA

🧠 Presented by: ABACBS Professional Bioinformatics Community (APBC)

🤝 In partnership with: ABACBS Annual Conference


About the Symposium

The Symposium on Bioinformatics and Engineered Intelligence (SBEI2025) brings together researchers, technologists, and industry leaders to explore the transformative impact of generative AI and engineered intelligence across health, biotechnology, agriculture, and scientific discovery.

Held just before the main ABACBS conference (25 - 26 Nov), SBEI2025 offers a focused, high-impact program designed to foster collaboration, spark innovation, and address the ethical and technical frontiers of AI in bioinformatics.


Registration

SBEI2025 is open to all ABACBS conference attendees and can be added during registration. Limited seats available — early registration is recommended.

👉 Register via ABACBS Conference Portal


Program Highlights

🔬 GenAI in Client and Product-Facing Applications

Explore real-world deployments of generative AI in diagnostics, therapeutics, crop science, and personalized medicine. Learn how AI is reshaping client engagement and product innovation.

🧪 GenAI in Scientific Research, Interpretation & Discovery

Dive into how GenAI is accelerating hypothesis generation, literature synthesis, and data interpretation. A panel of experts will discuss the implications for reproducibility, creativity, and scientific rigor.

⚙️ GenAI in Tools, Infrastructure & Workflows

Discover how AI is optimizing bioinformatics workflows, automating pipelines, and enhancing infrastructure scalability. Topics include workflow orchestration, model integration, and tool interoperability.

🛡️ Ethical Frontiers in Genomic AI

Engage with thought leaders on the ethical, legal, and technical challenges of deploying AI in genomics. Discussions will cover data governance, bias mitigation, and regulatory compliance.


Who Should Attend?

  • Bioinformaticians, Computational Biologists, and Data Scientists applying (or thinking about applying) AI to genomics and biomedical data

  • Engineers and developers building AI-powered workflows, platforms, and infrastructure for biological data

  • Health Tech and Biotech professionals integrating GenAI into patient-facing tools

  • Agritech and Biotech professionals leveraging AI for corp, animal, and microbial innovation

  • Policy makers, ethics, compliance, and data governance experts shaping policy and practice around AI in genomics and life science

  • Students and Early-Career professionals seeking exposure to real-world GenAI applications in life science


Program

Organising Committee

Belinda Cornes (convenor, Founder and Principal Consultant at Doppledata)

Eva Chan (Senior Bioinformatician at NSW Health Pathology)

Chris Love (Senior Bioinformatician at Geneseq Biosciences)

John Salamon (Bioinformatician at South Australian Genome Centre)

Paul Wang (Senior Research Fellow at WEHI)