Senior lecturer
Lund University
Johan Lindström’s research focuses on the statistical methods for spatial data with a focus on climate and environmental applications. Most of the work uses Gaussian Markov Random Fields as components of Bayesian hierarchical models often using MCMC, EM or INLA for estimation. His main intradisciplinary focus is on computational methods for large models and datasets.