Michael is one of the investigators for the APPreSci consortium.
He is a Senior Lecturer in Machine Learning at the School of Informatics in The University of Edinburgh. 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.
Michael 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. His current interests revolve around developing methods for efficient statistical inference and their applications to complex models.
You can read more about him here.