Marcelo Hartmann is a Postdoc at the Finnish Center of Artificial Inteligence from University of Helsinki. He has a Bachelor degree in Statistics from the São Paulo State University (UNESP) and a Master degree in Statistic by the joint program in Statistics between University of São Paulo (USP) and Federal University of São Carlos (UFSCar). He obtained a PhD from the University of Helsinki with distinction. His main focus of research lies towards applied problems. In the PhD, he worked with Gaussian process models and its generalization to multivariate settings (multi-task) applied to a series of problems involving population dynamics in Ecology, robust statistical inference and prediction performance. He also made a research visit to the Alan Turing institute in UK. He is also interested in general philosophy of the inductive Bayesian paradigm, prior elicitation via prior predictive distribution, matrix factorization model, neural nets and aspect of differential geometry applied to optimisation problems and approximation methods such natural gradients and variational inference.