I'm an associate professor in machine Leaarning and the head of the Division of Statistics and Machine Learning at Linköping University, Sweden. My research interest span a wide range of topics in statistical machine learning, including approximate Bayesian inference, representation learning, graph-based machine learning, and spatio-temporal models. Most of my research is related to (generic) method development, and probabilistic modeling and uncertainty quantification are two common denominators. Together with my team, I also work on a range of different applications of machine learning, such as weather forecasting, materials science, biochemistry, and applications in the automotive industry. See this page for contact details and a more formal bio.

My research is funded by: ELLIIT, WASP, and VR