Michael Betancourt, PhD
Postdoctoral Research Associate
Department of Statistics
University of Warwick
Having struggled mightily with statistics early in my academic career, I am passionate about improving statistical pedagogy and communication. If you're intersted in inviting me to speak or host a workshop then please contact me for a quote and availability.

A complete history of my speaking engagements can be found in my CV, but a few talks have also been made available online.

Scalable Bayesian Inference with Hamiltonian Monte Carlo
ICERM Workshop on Stochastic numerical algorithms, multiscale modeling
and high-dimensional data analytics, July 2016

Some Bayesian Modeling Techniques in Stan
Tokyo Stan Meetup, June 2016

Scalable Bayesian Inference with Hamiltonian Monte Carlo
Tokyo Stan Meetup, June 2016

The Geometrical Foundations of Hamiltonian Monte Carlo
Riemannian Geometry in Machine Learning, Statistics, and Computer Vision Workshop
Neural Information Processing Systems 2014

Hamiltonian Monte Carlo and Stan (Part 2)
Machine Learning Summer School, Iceland 2014

Efficient Bayesian inference with Hamiltonian Monte Carlo (Part 1)
Machine Learning Summer School, Iceland 2014

A General Metric for Riemannian Hamiltonian Monte Carlo
Geometric Science of Information 2013

Cruising the Simplex: Sampling the Dirichlet Distribution with Hamiltonian Monte Carlo
31st International Workshop on Bayesian Inference and
Maximum Entropy Methods in Science and Engineering
"Because no matter where you go, there you are."