Chris Nemeth is a Lecturer in Statistical Learning in the Department of Mathematics and Statistics at Lancaster University. His research is in the areas of computational statistics and machine learning, specifically probabilistic modelling, Markov chain Monte Carlo algorithms and Gaussian processes. He currently holds an EPSRC fellowship which is focused on addressing the problem of efficient and scalable Bayesian learning with massive datasets. Environmental application areas of his research include air quality modelling, ice sheet melt detection from satellite images and statistical emulation of process models.
LU - School of Mathematics and Statistics