Coming Up

Claude Cowork works a lot better once it's tuned to your data science workflow. Getting there takes time: learning the file structure, configuring the workspace, building out the skills layer. Or you can borrow some tested architecture and get started in minutes.

In this session I'll walk through the setup and hand over the files I use, showing how to adapt them to your own workflow. The components that give Cowork persistent memory between sessions and keep it tuned to how you work: CLAUDE.md, memory.md, context references, skills, and more.

You'll leave with my "DS OS" starter files, ready to adapt to your own work.

This is session three of the AI Tools for Data Science & Stats webinar series, co-sponsored by the ASA Section on Statistical Learning and Data Science and Polaris Data Labs.

About the host

Glen Wright Colopy, DPhil, is Head of Data Science & Statistics at Polaris Data Labs, a hands-on data science and ML consultancy for life science and biotech companies. His DPhil research at Oxford focused on Bayesian machine learning for personalized medicine. He has spent 16 years working with scientific data across biotech and life science R&D. He is also co-founder of IGOR, Your Personal Lab Assistant.