Chris Nemeth
I am a Professor in Probabilistic Machine Learning at Lancaster University. My current research focuses on gradient flow methods for the development of optimisation and sampling algorithms to efficiently estimate the parameters of large-scale models. I also work on Monte Carlo methods for Bayesian inference, Gaussian processes, statistical network modelling and the application of probabilistic modelling to environmental challenges.