Workshop catalog

Agentic coding for Computational Biology

• Adopt leading edge practices from agentic software dev, including Spec Driven Development, Multi-Agent Orchestration
• Adapt frontier LLM models to scientific coding by integrating domain expertise

AI for deep research and source-verified generation

• Give your AI co-worker the right tools (MCP, Skills, APIs) specific to Life Sciences to reliably and reproducibly analyze biomedical databases and create interactive clinical reports
• Create an analysis and summary from a constrained corpus (like writing a regulatory document) by bringing coding best practices into your non-coding work

Best Practices for AI-assisted knowledge work in biopharma

• Harness Engineering: Give your AI agent the right autonomy, tools and context to be an effective co-worker
• Build and document trusted and reproducible processes where AI helps automate your work