Summary
Michael Plümacher is a Lead Research Engineer with over a decade of experience blending advanced research in theoretical physics with practical data science and machine learning for industry. He transformed leptogenesis into a leading explanation for matter-antimatter asymmetry during a long academic career at institutions like the Max Planck Institute, CERN and Oxford, and later translated that analytical rigor into applied data strategy, prototyping and operationalization for corporate clients. As a principal data scientist and team builder he has led cross-functional projects—from GDPR-compliant data strategies for automakers to churn prediction and recommendation systems—while mentoring and hiring talent. Known among colleagues as a "truffle pig" for his ability to uncover overlooked insights, he pairs deep numerical and statistical expertise (C++, Python, Root, Mathematica) with clear communication to stakeholders. After a family sabbatical he refreshed his machine learning toolkit through competitions and public code on GitLab, demonstrating both continuous learning and practical delivery. Based in the Greater Hamburg area, he bridges high-level scientific modelling and hands-on production analytics to tackle complex, interdisciplinary problems.
9 years of coding experience
9 years of employment as a software developer
Lectures on financial mathemathics and convex risk measures, Lectures on financial mathemathics and convex risk measures at Ludwig-Maximilians-Universität München
Lectures on cryptology and secure implementation of cryptographic algorithms, Lectures on cryptology and secure implementation of cryptographic algorithms at Technical University of Munich
French high-school, French high-school at Lycée Français de Tananarive
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of Hamburg
Baccalauréat de l'Académie de Strasbourg (High-school leaving exam), Baccalauréat de l'Académie de Strasbourg (High-school leaving exam) at Ecole Française de Hambourg
German, English, French, Russian