I'm a once and future physicist currently masquerading as a statistician. My work bridges statistical
theory and methodology to develop the general purpose tools and pedagogical resources that enable
scientists to make the most out of their data.
The pursuit of general purpose but high performance statistical tools has lead me to the intersection
of diffential geometry, probability theory, and statistics, particularly Hamiltonian Monte Carlo and
its generalizations. Along with some amazing colleagues I am developing both the theoretical foundations
and the practical implementations of these algorithms, the latter in Stan