Generative AI can produce a regression model, a polished chart, and several convincing mistakes before lunch. So how do we use it for serious data analysis without surrendering judgment?

In this session, we will combine natural language, AI assisted coding, and mature open source libraries to explore data, apply statistical methods, create visualizations, and build reproducible analyses. The goal is not to ask a chatbot for the answer. It is to turn statistical intent into code we can inspect, test, rerun, and challenge.

We will follow a practical workflow that makes rigorous analysis more approachable for domain experts and beginners while keeping assumptions, calculations, and limitations visible.

This is not a toy workflow. The same foundation supports real clinical research.

Come for the vibe coding. Stay for the confidence intervals.