Diego Theuerkauf
Postdoctoral Researcher at Technische Universität Graz
Graz, Styria, Austria
Summary
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Senior🎓
Top SchoolDiego Theuerkauf is a Postdoctoral Researcher and Research Software Engineer with eight years of experience at top European institutes, now based in Graz. He completed a PhD at the Max Planck Institute for Intelligent Systems/University of Tübingen, blending probabilistic machine learning, optimal transport, and computational mathematics into reproducible research software. Diego has a strong track record of building Python tooling that integrates multiple research projects and has applied advanced theory to single-cell genomics during a competitive visiting stint at Helmholtz Munich. Comfortable both in academic and entrepreneurial settings, he pairs rigorous mathematical training with practical RSE practices to help teams turn complex models into reusable code. Colleagues describe him as someone who bridges deep theory and production-ready implementations, often surfacing elegant, less obvious connections between models and software design.
8 years of coding experience
6 years of employment as a software developer
Bachelor in Mathematics, Mathematics, Bachelor in Mathematics, Mathematics at Universidad de los Andes (VE)Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of TübingenMSc, Computational maths and modeling, MSc, Computational maths and modeling at IMPADoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Max Planck Institute for Intelligent Systems
Spanish, English, Portuguese, German, Italian
Github Skills (12)
transport10
automatic-differentiation9
parallel8
jit8
jax7
community-detection6
image-processing6
networkx4
journal4
creative-commons3
open-access3
academia3
Programming languages (2)
Github contributions (5)
diegoabt/Img2net
Dec 2020 - Aug 2021
Python implementation of the img2net algorithm.
Contributions:1 release, 8 commits, 4 PRs in 7 months
graphsimage-processingnetworks
MPI-IS/probinet
Oct 2024 - Mar 2025
Probabilistic Generative Modeling for Inference on Networks.
Contributions:2 releases, 2 reviews, 2 PRs in 5 months
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