Samuel Kaski is an Academy Professor at the Department of Computer Science, Aalto University, Finland. He is the Director of the Finnish Center for Artificial Intelligence FCAI. Samuel Kaski’s research focus on probabilistic machine learning, meaning probabilistic modelling and Bayesian inference, applied to difficult problems that are interesting and societally important. His work includes the inter-related topics of analysis of multiple data sources, human-in-the-loop machine learning, simulator-based inference (likelihood-free inference with ABC), and privacy-preserving learning.