Hi there, I am Erik, a PhD student in the Machine Learning Group at the University of Cambridge, supervised by José Miguel Hernández-Lobato. As a Cambridge-Tübingen fellow, I will also spend a year of my PhD at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, at the department led by Bernhard Schölkopf. My research interests broadly revolve around machine learning and artificial intelligence, with a current focus on methods at the intersection of probabilistic modeling and deep learning.
Before embarking on my PhD, I obtained a Master's degree in Computer Science from ETH Zurich, where I also did research on discrete and mixed-variable Bayesian optimization with Andreas Krause. Prior to that, I was based in my hometown of Munich, Germany, where I obtained a Bachelor's degree in Computer Science from Ludwigs-Maximilians-Universität, and did an internship at Siemens, working on statistical relational learning with Volker Tresp. I also spent a great year at the National University of Singapore, where I did research on batch Bayesian optimization with Bryan Kian Hsiang Low.
For more information, please visit my personal website.
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
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