Simon Huber
Data Scientist Algotrading
Pörnbach, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolSimon Huber is a data scientist specializing in algorithmic trading with a 14-year technical foundation rooted in astrophysics research. He holds a PhD from TUM/MPA where he built realistic simulations of strongly lensed Type Ia supernovae and trained ML models to extract cosmological parameters from upcoming large surveys. Now applying those simulation, statistics, and PyTorch skills at Syneco Trading, he bridges rigorous scientific modeling with production-focused algo trading. Comfortable across Python, Bash, LaTeX, and Git/GitHub workflows, he brings deep experience turning noisy, high-volume data into robust inference pipelines. His background suggests an uncommon strength: translating complex simulation-driven research into practical, deployable ML solutions for time-critical domains. Based in Bavaria, he combines academic rigor with a pragmatic, tool-oriented engineering style.
14 years of coding experience
Master of Science - MS, Physics, 1,1, Master of Science - MS, Physics, 1,1 at Technische Universität MünchenFachhochschulreife & Fachgebundene Hochschulreife, Fachhochschulreife & Fachgebundene Hochschulreife at Staatliche Berufsoberschule Scheyern
Github Skills (42)
encoder9
scene9
video-encoding8
tca8
docker-container8
campus8
vp98
encoding7
hevc7
android-app6
kotlin6
docker6
transcode6
ffmpeg6
chunks5
Programming languages (6)
Github contributions (5)
ibhh/CommandLogger
Jan 2012 - Mar 2015
Contributions:21 commits, 1 push in 3 years 3 months
ibhh/LinAlgZusammenfassung
Jul 2015 - Sep 2018
Zusammenfassung MA0901 Lineare Algebra für Informatiker TU München
Contributions:18 commits, 3 PRs, 16 pushes in 3 years 2 months
zusammenfassungalgebra
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