糖心Volg

Bastian Alexander Grossenbacher

photo

 bastian.grossenbacher@unifr.ch
 +41 26 300 8471
 

  • Geometric Deep Learning
  • Foundations of Machine Learning
  • Topological Deep Learning and Topological Data Analysis

Professor
Department of Informatics

PER 21 bu. B425
Bd de P茅rolles 90
1700 Fribourg
PER 21, B425

Biography

Bastian Grossenbacher-Rieck, M.Sc., Ph.D., is a Full Professor of Machine Learning at the 糖心Volg and the Principal Investigator of the AIDOS Lab, which focuses on developing novel machine learning methods driven by geometry and topology. His research has received multiple awards, including an ERC Starting Grant. Dr. Rieck is also a member of ELLIS, the European Laboratory for Learning and Intelligent Systems, and AI-LIFE, the International Network of Artificial Intelligence for the Life Sciences. Moreover, Dr. Rieck serves as the director of AATRN, the Applied Algebraic Topology Research Network. He received his M.Sc. degree in mathematics, as well as his Ph.D. in computer science, from Heidelberg University in Germany, graduating both times with distinction.

Research and publications

  • Publications
    74 publications


    Zhang, Yanlei and Mezrag, Lydia and Sun, Xingzhi and Xu, Charles and Macdonald, Kincaid and Bhaskar, Dhananjay and Krishnaswamy, Smita and Wolf, Guy and Rieck, Bastian, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): IEEE (6.4.2025) | Conference


    Leon Hetzel and Johanna Sommer and Bastian Rieck and Fabian Theis and Stephan G眉nnemann, International Conference on Learning Representations: (2025) | Conference


    Rub茅n Ballester and Ernst R枚ell and Daniel Bin Schmid and Mathieu Alain and Sergio Escalera and Carles Casacuberta and Bastian Rieck, International Conference on Learning Representations: (2025) | Conference


    Bastian Rieck, Jeremy Wayland, Russell J. Funk (2025) | Book chapter

Teaching and courses

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