Coming Up

When: Thursday, June 11, 2026 | 2:00–3:00 pm ET
Event link: LinkedIn Event

Clients want the benefits of AI. Some can't picture what that looks like for their data. Others picture replacing the data scientist with a chatbot. Neither picture is right.

In this session I'll walk through setups I've used with consulting clients, ranging from shared context files and a collaborative setup where the client and data scientist share organized data and encoded expert context, to more engineering-heavy frameworks built on a foundation of validated code. I'll focus on an 80/20 middle ground that gets a client where they want to be, with the data scientist in the loop to QA the work and push it forward.

You'll leave with my workflow for building one of these setups for a client.

This is session six 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.