Konrad Voelkel

Academic Teacher for Data Science at Heinrich-Heine-Universität Düsseldorf. Before, I was working at Osnabrück University (within the group "Geometrie und Topologie" and the Graduiertenkolleg GK1916, "Combinatorial Structures in Geometry"). Before that, I did my PhD at the Graduiertenkolleg GK1821, "Cohomological Methods in Geometry" Freiburg, Germany), working on applications of homotopy theory to algebraic geometry (motivic homotopy theory). My PhD advisor was Matthias Wendt.

My interests range from computer science to physics, with logics in between. My focus in research has been on motivic homotopy theory of algebraic varieties and applications. More recently, I've been looking into data science and machine learning, in particular manifold learning, topological data analysis, geometric machine learning.

I was also very active in the coordination team of the regional group of Scientists for Future Osnabrück, a science communication effort, where we organized a lecture series for the public on climate change, among many more outreach actions.

Within the political party Bündnis 90 / Die Grünen, I was on the board of the Stadtverband Osnabrück before moving to Düsseldorf.

Preprints of my work can be found on the arXiv. My PhD thesis is published at the University of Freiburg FREIDOK.

You can contact me, look at my CV or look up where you've seen me and which upcoming conferences and summer schools I will attend.

I used to blog about mathematics,
and recommend reading those blog posts I liked most.

There is an RSS feed.

Some very (comparatively) boring video made with #StableDiffusion 1.4 ... I'm curious how this will compare to what you easily do in 1-2 years.

https://youtu.be/_qU4QuP58WM

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