2026-06-06 –, Board Room- Unconference Track
Come build something with the PyMC development team.
Code sprints are collaborative working sessions where contributors of all experience levels tackle meaningful open issues side by side. Whether you want to squash a long-standing bug, sharpen the documentation, build a worked example, or simply understand how a major open-source project operates from the inside — there's a place for you here.
PyMC is the most widely used probabilistic programming library in Python, and the people who build it will be in the room. Bring your laptop; we'll handle the rest.
Chris is a Principal Quantitative Analyst at PyMC Labs and an Adjoint Associate Professor at the Vanderbilt University Medical Center, with 20 years of experience as a data scientist in academia, industry, and government, including 7 years in pro baseball research with the Philadelphia Phillies, New York Yankees, and Milwaukee Brewers.
He is interested in computational statistics, machine learning, Bayesian methods, and applied decision analysis. He hails from Vancouver, Canada and received his Ph.D. from the University of Georgia.
Oriol is a computational statistician, working as a maintainer of the ArviZ and PyMC libraries and as Principal Data Scientist with PyMC Labs. He started in academia but after some years but he left after some years in order to be able to work more freely and collaboratively on open source, software and knowledge sharing. His main areas of interest are data visualization, model and inference diagnostics, model comparison, and prior elicitation. Within open source projects, he has also dedicated a large part of his work to documentation, governance and DEI.