Edinburgh Research Explorer

Michael Gutmann

Senior Lecturer in Machine Learning

Research Interests

Efficient statistical learning, statistical inference for complex models, unsupervised machine learning, natural image statistics, computational neuroscience, infectious disease epidemiology


PhD, The University of Tokyo

MSc, Swiss Federal Institute of Technology (ETH) Zurich

MSc, Ecole Centrale Paris


Michael Gutmann is a senior lecturer in machine learning in the Institute for Adaptive and Neural Computation at the School of Informatics. He previously worked at the Department of Mathematics and Statistics, and the Department of Computer Science at the University of Helsinki and Aalto University in Helsinki, Finland. He studied engineering and applied mathematics at the Swiss Federal Institute of Technology Zurich and the French engineering school Ecole Centrale Paris. He obtained his PhD in computational neuroscience from the University of Tokyo. 

Research outputs

  1. Likelihood-free inference by ratio estimation

    Research output: Contribution to journalArticle

  2. Robust Optimisation Monte Carlo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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