About me
I am a Senior Data Scientist at the Deutsches Biomasseforschungszentrum (DBFZ) in Leipzig, where I combine a background in theoretical physics with hands-on AI and HPC engineering. I turn existing machine learning models into reliable open-source tools such as ScrAIbe and ScrAIbe-WebUI, run large-scale workloads on an HPC cluster with Slurm (often using Singularity containers), and deploy containerised services into production with CI/CD workflows powered by GitLab and GitHub Actions. Alongside institute projects, I maintain open-source tools to make accurate transcription and research infrastructure accessible to non-coders and occasionally experiment with probabilistic modelling and information-field-theory-inspired ideas. I mentor students through thesis supervision and workshops.
Experience
Senior Data Scientist & AI Advisor
My Role at DBFZ & KIDA
I work on applied data science projects at the Deutsches Biomasseforschungszentrum (DBFZ), including contributions to the interdisciplinary KIDA project. I support research groups at DBFZ and partner institutions in turning complex datasets into robust scientific and policy-relevant results. My role blends strategic AI advisory work with hands-on implementation across the machine-learning lifecycle.
Key responsibilities
- Design data and ML strategies aligned with project goals, funding constraints, and ethical guardrails.
- Provide AI guidance for researchers, from problem framing to evaluation and publication.
- Co-shape the institute’s AI-HPC roadmap and select tooling/infrastructure balancing performance, cost, and maintainability.
- Plan and help build shared HPC/AI infrastructure across multiple institutions in the KIDA consortium.
- Apply probabilistic methods in small, practical ways to better represent uncertainty in policy-facing ML results.
- Operate Slurm clusters, container stacks, and GitLab/GitHub automation, including CVE-driven patching and security monitoring.
- Develop open-source tools like ScrAIbe and ScrAIbe-WebUI so non-coders can use transcription and diarisation pipelines.
- Advise IT staff on translating research and infrastructure plans into stable production services.
- Advise Bachelor’s and Master’s theses and contribute to project and grant applications.
This work lets me connect my theoretical physics background to real-world impact—using ML to clarify, not obscure, scientific insight.
Student Council Representative (Volunteer)
Advocating for students and shaping academic initiatives
While completing my studies, I volunteered as an elected member of the physics student council, where I supported peers and liaised with faculty on academic and organisational matters.
- Represented student perspectives in departmental meetings and curriculum discussions.
- Coordinated events that connected students with research groups and external partners.
- Helped streamline communication between cohorts by introducing shared documentation practices.
The experience strengthened my facilitation skills and reinforced the importance of inclusive, transparent decision making in academic environments.
Scientific Assistant
Inspiring future physicists through hands-on experimentation
Since 2016 I have supported the HASP student laboratory, where we introduce young students to experimental physics. My work focuses on developing and running experiments, improving lab demos, and mentoring visitors on site.
- Develop accessible explanations of complex physical phenomena for different age groups.
- Build, test, and refine experimental setups that balance safety, robustness, and scientific accuracy.
- Guide visiting students through experiments, encouraging curiosity and careful observation.
- Coordinate with university staff to expand and improve the laboratory’s catalogue of demonstrations.
This long-term engagement keeps me closely connected to teaching and science communication, and continually sharpens my ability to translate advanced concepts into approachable learning experiences.
Education
Projects
Publications & Presentations
- Poster — “Numerical Information Field Theory for Acoustic Monitoring,” Helmholtz AI Conference, Karlsruhe (2025)
- Talk — “KI für kritische Infrastruktur: Open-Source-Lösungen für Verwaltung und Industrie,” Data Week Leipzig (2025)