Samuel Kaski is Professor of Artificial Intelligence at the University of Manchester and at Aalto University, Helsinki.

Samuel works on probabilistic machine learning, meaning probabilistic modelling and Bayesian inference, applied to difficult problems that are interesting and societally important. At the moment he works on the inter-related topics of AI-assisted decision making, design and modelling; machine learning from multiple data sources, human-in-the-loop machine learning, simulator-based inference (likelihood-free inference with ABC), and privacy-preserving learning. He collaborates on interdisciplinary research projects on applications in biology and medicine, brain signal analysis and user interaction, in the Finnish Centre for Artificial Intelligence Research FCAI and in the Aalto Probabilistic Machine Learning Group.

In Manchester he is Research Director of the Christabel Pankhurst Institute for Health Technology Research and Innovation, and in Helsinki lead the Finnish Center for Artificial Intelligence Research FCAI and ELLIS Unit Helsinki. He is also an ELLIS Fellow and Turing Fellow of the Alan Turing Institute.