Hi, I'm Erik! I'm a first-year PhD student in the Cambridge-Tübingen programme. I'm currently based at the University of Cambridge, where I'm supervised by José Miguel Hernández-Lobato. I have a broad interest in machine learning, and am currently focusing on Bayesian deep learning and Bayesian optimization.
Before starting my PhD, I studied for a Masters degree in Computer Science at ETH Zurich, where I did research on discrete and mixed-variable Bayesian optimization in Andreas Krause's group. Prior to that, I obtained a Bachelors degree in Computer Science from LMU Munich, and did a short internship at Siemens in Munich, working on statistical relational learning and knowledge graphs with Volker Tresp. I also spent a year at the National University of Singapore, where I did work on batch Bayesian optimization with Bryan Kian Hsiang Low in the context of my undergraduate thesis.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems