Summary
Mattias Villani is a Professor and chair specializing in computationally efficient Bayesian methods for large-scale inference, prediction and decision-making, with 12+ years of academic and applied experience. He leads research and doctoral supervision at Stockholm University while running StatComp, a consulting firm delivering forecasting and machine learning solutions. His work spans neuroimaging, text analysis, DSGE modeling and other big-data applications, combining rigorous theory with practical software and policy advice (including work for Sveriges Riksbank and the IMF). A dedicated educator, he teaches and modernizes Bayesian and foundational statistics curricula from master’s to PhD level. Known as a "Natural Born Bayesian," he blends deep probabilistic thinking with a builder’s mindset, translating advanced methods into usable tools for industry and government.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Stockholm University
English, Swedish, Italian