Workshop Catalog
I teach life science researchers cutting-edge AI skills to accelerate R&D.
AI for Life Science Leaders
- Learn to direct AI agents to translate strategic drug development questions into concrete analytical tasks
- Build an interactive target evaluation report integrating molecular and clinical landscape data, by analyzing large biomedical databases with AI agents
Agentic Coding for Computational Biology
- Adopt leading-edge practices from agentic software development, including Spec Driven Development and multi-agent orchestration
- Adapt frontier LLMs to scientific coding by integrating domain expertise, using new bio-foundational models to analyze single-cell data.
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 data
- 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