Jonas Wallin

Associate Professor in Statistics at the Department of Statistics at Lund University, Sweden, where I am also director of doctoral studies.

My research is in computational and spatial statistics: Gaussian random fields and SPDE-based models, including Gaussian processes on metric graphs and non-Gaussian latent models; Bayesian computation; and sparse high-dimensional regression. Much of this work is developed together with open-source software. I also work on applications, in particular climate-sensitive infectious diseases.

Research interests

  • Gaussian random fields, SPDEs and Gaussian processes on metric graphs
  • Non-Gaussian latent variable models
  • Bayesian computation and MCMC
  • Sparse and high-dimensional regression (SLOPE)
  • Spatial confounding and forecast evaluation
  • Statistical modelling of climate-sensitive infectious diseases