I am a PhD student in the mackelab at University of Tübingen working on the intersection of machine learning and neuroscience. I have a background in Cognitive Science (BSc) and Computational Neuroscience (MSc) and discovered my passion for Bayesian statistics and machine learning during my masters. Since then I am developing probabilistic machine learning tools and applying them to problems in computational neuroscience.
My research focus lies on simulation-based inference (SBI), a method to perform Bayesian inference in simulation-based models like they often occur in astrophysics, economics, biology, neuroscience and many other fields. I am one of the core developers of sbi, a Python toolbox for SBI (link to paper). At the moment I am particularly interested in hierarchical inference, model misspecification and model comparison in SBI. Please contact me for questions and dicussions.
Download my resumé.
PhD in Machine Learning, present
University of Tübingen
MSc in Computational Neuroscience, 2018
Technical University Berlin
BSc in Cognitive Science, 2015
University of Osnabrück