Expertise
Explainable AI · ML engineering · Bioinformatics & Biostatistics
Professional Affiliations
- DNTOX, Co-founder Affiliate
- IUF, Research Affiliate
- RUB, Research Affiliate (alumnus)
Social Profiles
Contact Information
I am an AI research engineer with a background in mathematics, data science, and software development. I focus on building robust, efficient, and explainable AI systems that move from theory into practice.
My expertise combines research — developing methods that handle sparse or noisy data using symmetry and information geometry — with engineering, where I turn these ideas into production-ready pipelines and tools in Python, R, Julia, and C++ (PyTorch, Shiny, Django, Docker, CI/CD).
At DNTOX, I served as the architect and head of bioinformatics & biostatistics. I planned, designed, and implemented the data and analysis infrastructure supporting in-vitro experiments, which was critical for securing €1.4M in seed funding and growing the company’s valuation. My academic work has been presented at NeurIPS, and I hold a PhD in Mathematics from Ruhr-University Bochum with postdoctoral research experience in bioinformatics and biostatistics at the Leibniz Research Institute for Environmental Medicine (IUF).