I am a postdoctoral researcher at the Leibniz University Hannover and research group leader in the L3S Research Center. My research is centered around automated machine learning (AutoML) and related topics such as meta-learning, hyperparameter optimization, algorithm configuration and algorithm selection, as well as supervised learning methods. Specifically, I am interested in methods for multi-label classification. Beyond that, my research interests are widespread and include uncertainty quantification, evolutionary machine learning, machine learning in IT security, part of speech tagging, service-oriented software architectures, and (co-)active learning.
For further reading on news from the AutoML community, I can recommend AutoML.space, a community platform to get involved with AutoML and stay tuned to upcoming events and cutting-edge research.
L3S Research Center
Research Group Leader
Leibniz University Hannover
Postdoctoral Researcher, Team-Lead Human-Centered AutoML
Fraunhofer IEM, Paderborn
Expert Consultant for Machine Learning
Munich Center for Machine Learning
LMU Munich
Coordinator Education
Artificial Intelligence and Machine Learning Group
Institute of Informatics, LMU Munich
Postdoctoral Researcher
Intelligent Systems and Machine Learning Group
Department of Computer Science, Paderborn University
Research Assistant / PhD Candidate
Doctor rerum naturalium (summa cum laude), Paderborn University,
Paderborn, Germany
Master of Science (with distinction), Paderborn University,
Paderborn, Germany
Bachelor of Science, Paderborn University,
Paderborn, Germany
2022 Outstanding reviewer at NeurIPS 2022.
2021 Outstanding reviewer at ICML 2021.
2020 Outstanding reviewer at ICML 2020.
2020 Frontier Prize for the most visionary contribution at the International Symposium on Intelligent Data Analysis, 2020.
2019 Young author award at the Computational Intelligence Workshop, Dortmund, 2019.
2017 Young author award at the Computational Intelligence Workshop, Dortmund, 2017.
2017 Best paper award for the SBSE/ACO-SI track at the Genetic and Evolutionary Computation Conference (GECCO), 2017.
Cooking & making ice cream
Travelling
Sailing, hiking, badminton, swimming, running
Playing the guitar
Board games / video games
Programming, web design