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, ... Work I'm highlighting: A new paper