Bastian Rieck

Welcome to my personal and academic space! I am the Principal Investigator of the AIDOS Lab at the Institute of AI for Health and the Helmholtz Pioneer Campus of Helmholtz Munich, focusing on topology-driven machine learning methods in biomedicine. I also have the honour to be a TUM Junior Fellow and a member of ELLIS.

This site contains some things I care about.

Affiliations

I am a co-director of the Applied Algebraic Topology Research Network (AATRN). Topology may not save the world, but it may well save something that is at least homotopy-equivalent to the world. Check out our great seminar recordings, available for free at the AATRN YouTube Channel, which has over 475 videos, over 4,500 YouTube subscribers, and averages more than 24 hours watched per day.
I am a member of the Topology, Algebra, and Geometry in Data Science (TAG DS) initiative. Our aim is to make more people in machine learning and data science aware of the wondrous possibilities of these subjects.
I maintain DONUT - The Database of Original & Non-Theoretical Uses of Topology, which is based on a well-curated list of publications, created by Barbara Giunti.

Previously, I was a senior assistant in the Machine Learning & Computational Biology Lab of Prof. Dr. Karsten Borgwardt at ETH Zürich. I obtained my Ph.D. in computer science from Heidelberg University, which is also where I got my master’s degree in mathematics.

If you are a student interested in working with me, please check out my notes for potential collaborations.
I have a lot of great colleagues and friends who helped me get to where I am today; I keep track of this in a dedicated site about the acknowledgements for my career.