Summary
Steffen Czolbe is a Machine Learning Research Engineer with a Ph.D. and eight years of research and industry experience building high-performance, regulated AI systems. He designs, validates, and deploys clinically approved ML models—currently contributing to CE- and FDA-cleared X-ray tools used in hospitals worldwide. Combining top-tier academic accomplishments (NeurIPS publications and awards) with production-grade software engineering, he is fluent in Python, PyTorch, and remote compute workflows. His background spans interdisciplinary collaborations at Harvard/MGH and product-focused work with industry partners like LEGO, reflecting an ability to translate cutting-edge research into practical, validated solutions. Based in Copenhagen but internationally experienced in Boston and Hamburg, he brings both academic rigor and operational leadership to safety-critical ML deployments.
9 years of coding experience
3 years of employment as a software developer
BSc, Computer Science, ECTS Grade A, BSc, Computer Science, ECTS Grade A at FH Wedel - University of Applied Sciences
MSc, Computer Science, 11.75/12, MSc, Computer Science, 11.75/12 at Københavns Universitet - University of Copenhagen
German, English, Danish