Erik A. Daxberger
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.