About
From model to impact
I am a professor, founder, and consultant – and that is no coincidence. This combination is the result of more than 15 years at the intersection of academia, entrepreneurship, and practice.
Between algorithms and decisions, there is always a need for translators. I am one of them: someone who not only develops Data Science and AI, but translates it into real impact – in teaching, in products, and in consulting.
Skills
I work at the intersection of methodology and application – from classical statistics and machine learning through explainable AI systems to autonomous AI agents. My focus is not on individual techniques, but on combining them meaningfully and applying them reliably in real-world contexts.
Data preparation, exploratory analysis, statistical modeling, and inferential methods. Solid methodological foundations for reliable results.
Supervised and unsupervised learning, ensemble methods, deep learning. From model development through evaluation to production deployment.
Interpretable and explainable AI models. Methods for revealing model assumptions, limitations, and decision rationales.
AI-based methods designed to be explainable, reliable, and responsibly deployed. Assessment and design within specific contexts.
Translating models into products and operational systems. Scalability, data quality, and integration into existing processes.
Building data- and AI-driven analytical capabilities. Developing business models with a focus on sustainable impact.
Fields of Work
My work takes place across three mutually reinforcing contexts: as a professor I research and teach at FH Münster, in startups I build data-driven products, and in consulting I support organizations in developing AI and analytics capabilities. Each field brings its own demands – and insights that enrich the others.
As a Professor of Data Science, I don't just teach methods – I enable reflective use of data-driven models. My research investigates how AI-based methods can be designed to be explainable and responsible.
In startups, I translate models into products and operational systems. This is where you learn which approaches scale, where data quality becomes a bottleneck, and how to integrate DS meaningfully.
In consulting projects, I support organizations in building data- and AI-driven analytical and decision capabilities, as well as in developing corresponding business models – with a focus on sustainable impact.
References
Over more than a decade, I have worked with organizations across a wide range of industries – from top-management consulting at McKinsey to applied Data Science with mid-sized companies. The organizations listed here have trusted me to address their challenges with data and AI.
Contact
Interested in collaborating? I look forward to your message.