Meet your Instructors

Applied Practitioners, Tool Builders, and Community Leaders

We're Bayesian enthusiasts, tool builders, and practitioners that use these methods every day. All three of us are authors of the PyMC Probabilistic Programming Language, a production grade package used at leading organizations around the world. We're also practitioners that use Bayes Theorem in a wide variety of settings from political science, supply chains, venture capital, and many other disciplines.

Ravin Kumar

Ravin learned the power of Bayes Theorem at SpaceX when improving the supply chains of the world's most advanced rockets. He's now an advocate of applied Bayesian methods and has since authored a textbook about Bayes Theorem and writes about appllied data science on his blog.

Thomas Wiecki

Thomas is enthusiastic about teaching statistics using code and examples, rather than arduous math. Through his many talks and blog posts, he has shown that there is a different way to teach statistics.

Alex Andorra

Alex is a Bayesian modeler at the PyMC Labs consultancy. Over 11k people listen to his Learning Bayesian Statistics podcast every month, to hear about the human aspects and cutting edge research and applications in the field. An always-learning statistician, he loves building models and studying elections and human behavior.