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Personal profile

Research Interests

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

Qualifications

PhD, The University of Tokyo

MSc, Swiss Federal Institute of Technology (ETH) Zurich

MSc, Ecole Centrale Paris

Biography

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. 

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