Michael Betancourt, PhD
Research Fellow
Department of Statistics
University of Warwick
A once and future physicist masquerading as a statistician, I work on general purpose tools that allow scientists to maximize the utility of their data (i.e. Bayesian inference).

This pursuit has lead me to the application of differential geometry to Markov Chain Monte Carlo techniques via the Hamiltonian Monte Carlo. Along with some talented colleagues I am developing both the theoretical foundations and practical implementations of the algorithm, the latter particularly in Stan.

Outside of scientific pursuits I've been known to take food and spirits a little too seriously.
"Because no matter where you go, there you are"