My research interests are Bayesian probability theory and methodology, especially Bayesian workflow, diagnostics, probabilistic programming, inference methods such as Laplace, EP, VB, MC, model assessment and selection, non-parametric models such as Gaussian processes, dynamic models, and hierarchical models. I'm co-leader of the Probabilistic Machine Learning Group at Aalto. I'm member of Stan development team. I'm co-author of text books Bayesian data analysis, 3rd ed, and Regression and other stories. All course material for my Bayesian data analysis course is available online.