Michael Hanke
Head of Software Engineering at Quantumdiamonds
Based in Munich, Germany
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Seniority
Director
Department
Information Technology
Location
Munich
Industry
Semiconductor Manufacturing
Company size
45
Contact information
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m•••••••@quantumdiamonds.de
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Background
About Michael Hanke
With over nine years of experience in data analytics, machine learning, and spectroscopy, I’ve built a career that blends technical expertise with hands-on leadership. After completing my PhD in Astrophysics, I spent four years at BASF Group, quickly rising to Principal Scientist. There, I developed machine learning models and data analysis tools for spectroscopy, signal processing, and optical hardware. This background has helped me shaping my approach to solving complex problems with innovative methods. Currently, I lead the Software & Data Science department at QuantumDiamonds GmbH, where we’re pioneering the industrialization of quantum sensing applications. We use nitrogen-vacancy centers in diamond to push the boundaries of high-sensitivity vectorial magnetic field sensing. My team and I develop software systems and machine learning models that extract insights from quantum-level data, helping industries like semiconductor manufacturing achieve breakthroughs in failure analysis. One of the aspects I find most rewarding is the collaboration between software, data science, and hardware engineering. By bridging these areas, we create solutions that are greater than the sum of their parts. This approach has allowed us to continually innovate and add value for our clients. Core Skills: • Machine Learning & Sensing Technologies: Extensive experience in applying machine learning to complex data, especially in quantum sensing, spectroscopy, and signal processing. • Team Leadership: Leading cross-functional teams to develop software systems and data models that drive innovation. • Data Science for Advanced Systems: Creating algorithms and frameworks that transform raw data into clear, actionable results. • Product & IP Development: Contributing to both our internal intellectual property and broader industry advancements. The intersection of physics, data science, and engineering is where I thrive. I’m always interested in discussing new developments in these areas and exploring opportunities for collaboration. Let’s connect and see how we can work together to advance the field.
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