06-07, 10:20–12:35 (Europe/London), Library
Join the PyMC development team for a fun and engaging hackathon!
Whether you're a seasoned Bayesian or completely new to probabilistic programming, this is your chance to contribute: write code, squash bugs, improve documentation, and develop practical examples. You'll get hands-on guidance from PyMC core contributors while making real contributions to one of the leading Bayesian inference libraries in Python. No prior experience required—just bring your laptop and enthusiasm to learn and collaborate!
No previous knowledge expected
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. 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.