Marco Sälzer

Postdoc at Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)

Kassel, Hesse, Germany
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Summary

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Senior
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Top School
Marco Sälzer is a data scientist and computer scientist with a decade of experience blending theoretical foundations and practical applications across academia and freelance projects. Currently pursuing a PhD at Universität Kassel's Chair of Theoretical Computer Science & Formal Methods while freelancing as a data scientist, he applies formal methods, computability, and machine learning to real-world problems. His background includes teaching formal languages and logic, hands-on research in mobile activity recognition and data mining, and a stint at PwC exploring blockchain and AI use cases. Comfortable moving between rigorous theory and product-oriented development, he’s known for maintaining research-grade software tools that bridge experimental data collection and production analytics.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS, Informatik, Master of Science - MS, Informatik at University of Kassel
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Github Skills (4)

parity5
game-development4
logic3
checker2

Programming languages (2)

OCamlPython

Github contributions (5)

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Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:10 pushes in 2 years 9 months
templategithub-pages-templatemmistakesmistakesjekyll
model checker for higher-order fixpoint logic
Contributions:2 PRs, 29 pushes, 12 branches in 10 months
model-checkerlogichigher-orderchecker
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