Aki Vehtari

Professor (Associate Professor)

Research units & titles

Artistic and research interests

I'm co-leader of the Probabilistic Machine Learning Group at Aalto. We develop new methods for probabilistic modeling, Bayesian inference and machine learning. Our current focuses are in particular probabilistic programming, learning from multiple data sources, Bayesian model assessment and selection, approximate inference and information visualization. Our primary application areas are digital health and biology, neuroscience and user interaction.

I'm visiting professor at Technical University of Denmark (DTU), and I have a shared office at Columbia University in the City of New York. I'm member of development teams of Stan, ELFI, GPy and GPstuff.

Education/Academic qualification

  • Doctor of Science (Technology), Engineering Physics, Teknillinen korkeakoulu

  • Master of Science (Technology), Information Technology, Teknillinen korkeakoulu


  • Bayesian modeling, Statistical analysis, Epidemiology, Brain signal analysis, Machine learning

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