Coming Up

AI tools make it easier than ever to spin up new data science projects and customize them to your workflow. But most setups leave a lot on the table.

In this session I'll show an architecture and project setup that works well with AI tools, with a live demo building a project from scratch. We'll cover how the right initial setup makes downstream work easier: from data cleaning and output quality checks to project write-ups.

You'll leave with my project setup files and templates, ready to drop into a new project.

This is session five 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.