Colin Carroll
Colin Carroll is a software engineer at Google Research. In this role he focuses Bayesian computation and research, and contributes to a number of open source libraries, including TensorFlow Probability, PyMC[3], and ArviZ. He received his PhD in mathematics from Rice University, where he researched geometric measure theory.
Sessions
See how to implement and fit a Bayesian model using a number of cutting edge Python libraries. We take a tour of the composable and ergonomic ecosystem for doing Bayesian statistics with JAX: we'll show how to write a model with any of PyMC, TensorFlow Probability (TFP), distrax, NumPyro, or pure JAX (or a combination of these!), and then how to do inference on any of those models with using any of PyMC, TFP, NumPyro, or BlackJAX.