Stefan Heyder
Client Lead at singularIT GmbH
Leipzig, Saxony, Germany
Summary
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Rockstar🎓
Top SchoolStefan Heyder is a client-focused data scientist and statistician with a decade of experience applying mathematical and applied statistics to real-world problems, now leading client engagements at singularIT. He earned a PhD-level background from TU Ilmenau and spent six years in the university’s statistical consulting unit, guiding study design, modeling, and workshops while translating statistical results into actionable recommendations. Technically fluent in R and Python (including GPU-backed jax workflows), he combines frequentist and Bayesian methods with experience implementing and testing geometric-statistics functionality in the geomstats open-source library. His career spans applied research on spatio-temporal state-space models for epidemiological monitoring to hands-on software engineering for 3D web apps and C++/Java systems, giving him rare depth across modeling, software, and visualization. Based in Leipzig, he balances rigorous theory with pragmatic product-facing delivery, often turning complex inference into clear operational steps for non‑statistical stakeholders. An understated strength is his ability to vectorize and optimize mathematically intensive code—bridging algorithmic detail and client impact.
10 years of coding experience
1 year of employment as a software developer
Dr. rer. nat. Mathematik und Statistik, Dr. rer. nat. Mathematik und Statistik at Technische Universität Ilmenau
Stackoverflow
226reputation
4kreached
2answers
4questions
Github Skills (18)
geometry10
python10
operation10
tensorrt10
numpy10
geo10
tensorflow10
tensor10
geom10
testing9
machine-learning9
asp-net6
deep-learning6
deeplearning-ai6
event-handling6
Programming languages (11)
Github contributions (5)
geomstats/geomstats
Jan 2020 - Feb 2020
Computations and statistics on manifolds with geometric structures.
Role in this project:
Back-end Developer / Data Scientist
Back-end Developer / Data ScientistContributions:42 commits, 13 PRs, 2 pushes in 25 days
Contributions summary:Stefan primarily contributed to the implementation and testing of mathematical functionalities within the `geomstats` library. They focused on improving existing code related to special orthogonal groups (SO(n)), including optimizations for inverse calculations and the addition of Lie bracket computations. Furthermore, the user implemented and tested Lie bracket functionality within the codebase. Their work involved the addition of tests for Lie brackets and vectorization, and fixing style issues.
gpu-programmingstatisticslie-groupsdeep-learningneural-networks
Stochastik-TU-Ilmenau/covid19-forecast-hub-de
Oct 2020 - Oct 2022
Contributions:2 PRs, 101 pushes, 99 branches in 2 years
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