Coming Up

AI tools are hungry for context. The more they know about how you work, your data, and your projects, the better they perform. Building good context files from scratch takes a long time, so in this session I'll hand over a set I use, paired with tailoring prompts to make each one yours.

We'll cover a range of context files for different parts of a data science workflow: global instructions, collaborator and project context, writing style, and more. Each comes with a tailoring prompt you can run in any AI chat tool.

You'll leave with my AI context files and the prompts to make them your own.

This is session four 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.