Stephan Lorenzen

Lead Data Scientist

Copenhagen, Capital Region of Denmark
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Summary

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Senior
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Top School
Stephan Lorenzen is a Lead Data Scientist with 11 years of experience blending rigorous academic research (PhD and postdoc from the University of Copenhagen) with hands-on ML and algorithm engineering in digital education and health. He currently leads health-AI efforts at Aiomic, focusing on detection and prediction of postoperative complications using efficient, practical approaches that range from theoretically grounded algorithms to parallelized implementations. Comfortable in C/C++ for performance-critical systems and Python for analysis, he repeatedly bridges the gap between prototype research and production-ready solutions. His background in big data, deep learning theory, and Danish health data gives him a strong domain edge in clinical applications. Outside work he prioritizes a healthy, active lifestyle—often hiking, running or kayaking—which he credits for sustaining long-term problem-solving stamina.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Københavns Universitet
bookSTX, Mathematics, Physics and Chemistry, STX, Mathematics, Physics and Chemistry at Rosborg Gymnasium
languagesDanish, English, German
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Stackoverflow

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Github Skills (4)

predictive-modeling10
bert6
parser1
cpp1

Programming languages (1)

Python

Github contributions (5)

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Contributions:117 commits, 6 pushes, 1 branch in 2 years 7 months
Contributions:94 commits, 1 push in 1 year 3 months
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Stephan Lorenzen - Lead Data Scientist