Radford M. Neal
Statistics & Machine Learning:Bayesian inference, Neural networks, Gaussian processes, Latent variable models
Computational Methods:
Markov chain Monte Carlo, Computation for Bayesian models,
Fast/exact arithmetic
Information Theory:
Data compression, Error-correcting codes
Philosophy of science, Programming Languages, Graphics, Applications, ...