Principal Data Scientist · Vienna, Austria

PAVOL
BAUER

I turn messy data into structure — embedding, clustering and machine learning. Agentic Engineering by day, having fun with AI by night.

The résumé

Structure in noise, from neurons to observability.

Principal Data Scientist at Dynatrace, where I work on agentic analytics at scale. Before that: T-Systems, the Leibniz Institute for Neurobiology (LIN Magdeburg), the German Center for Neurodegenerative Diseases (DZNE Bonn), and a PhD in scientific computing at Uppsala University. My through-line is the same everywhere — pull interpretable structure out of high-dimensional, noisy signals.

Pinned on GitHub

Research code & open source.

A few repositories I keep coming back to — from animal-behavior embedding to stochastic simulation on unstructured meshes.

After hours

The AI playground.

Small, playable AI experiments that live right here on this domain — open them on a device with a camera and jump in. No install.