![Portrait image of Alexander Immer](https://appliedmldays.org/rails/active_storage/blobs/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBa01GIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--67a7ec396f33b97eb5f83d4398e85699a5d54cbc/Screenshot%202020-12-10%20at%2010.58.48.png)
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.