Alexander Immer is a Ph.D. student at the Max-Planck ETH Center for Learning Systems interested in probabilistic machine learning and data science. Before that, he was a Master’s student at EPFL and an intern at RIKEN AIP in Tokyo. The current focus of his work is on scalable Bayesian model selection and applications to biomedical problems.