Faculty
Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)
Dr. Rebekka Burkholz is a tenure-track faculty at the CISPA Helmholtz Center for Information Security in Saarbrücken. The focus of her research is relational machine learning. Her main goal is to gain a theoretical understanding of deep learning from a complex network perspective and improve contemporary algorithms based on these insights. Her favourite applications are currently in molecular biology.
From 2019-2021, she was a PostDoc at the Biostatistics Department of the Harvard T.H. Chan School of Public Health working with John Quackenbush. Before that, she enjoyed postdoctoral research at ETH Zurich, from 2017-2018 at the Institute for Machine Learning with Joachim Buhmann and from 2016-2017 at the Chair of Systems Design with Frank Schweitzer. Her PhD research from 2013-2016 at the ETH Risk Center was supervised by Frank Schweitzer and co-supervised by Hans J. Herrmann. Her thesis on systemic risk won the Zurich Dissertation Prize and her work on international maize trade received the CSF Best Contribution Award. She studied Mathematics and Physics at TU Darmstadt.
ICML
International Conference on Machine Learning40th International Conference on Machine Learning
Genome Biology
Nucleic Acids Research
NeurIPS
Thirty-sixth Conference on Neural Information Processing SystemsNeurIPS 2022
ICML
Proceedings of the 39th International Conference on Machine LearningInternational Conference on Machine Learning (ICML)
ICLR
International Conference on Learning RepresentationsThe Tenth International Conference on Learning Representations
ICLR
International Conference on Learning RepresentationsThe Tenth International Conference on Learning Representations
Nature Methods