Scholar
Bastian Rieck
Google Scholar ID: La7zuKQAAAAJ
Professor, AIDOS Lab, University of Fribourg
Citations & Impact
Citations
5,015
H-index
29
i10-index
58
Publications
20
Co-authors
181
list available
Publications
Resume (English only)
Academic Achievements
- Runs several research projects, including an ERC Starting Grant 'HOLES: Higher-Order Learning of Essential Structures with Geometry and Topology' funded by the Canton of Fribourg, the Hightech Agenda Bavaria, and the Swiss State Secretariat for Education, Research and Innovation SERI. Co-director of the Applied Algebraic Topology Research Network (AATRN), which has over 475 videos, over 4,500 YouTube subscribers, and averages more than 24 hours watched per day. Member of the Topology, Algebra, and Geometry in Data Science (TAG DS) initiative.
Research Experience
- Senior assistant in the Machine Learning & Computational Biology Lab of Prof. Dr. Karsten Borgwardt at ETH Zürich.
Education
- Ph.D. in Computer Science from Heidelberg University; Master's degree in Mathematics from Heidelberg University.
Background
- Full Professor of Machine Learning at the University of Fribourg, leading the AIDOS Lab, which is dedicated to turning geometry and topology into learnable inductive biases to shape the future of machine learning. Also known as topological machine learning or topological deep learning. Holds a secondary appointment at the Institute of AI for Health and the Helmholtz Pioneer Campus of Helmholtz Munich. TUM Junior Fellow and a member of ELLIS, the European Laboratory for Learning and Intelligent Systems.
Miscellany
- Interested in interdisciplinary, non-standard backgrounds and attention to detail. Maintains DONUT - The Database of Original & Non-Theoretical Uses of Topology. Sometimes appears under the name Bastian Grossenbacher or Bastian Grossenbacher-Rieck.
