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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

2023 – Present
Senior Data Scientist & AI Advisor
Deutsches Biomasseforschungszentrum (DBFZ). Leipzig, Germany

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.


2019 – 2021
Volunteer Elected Member, Student Council of Physics
Martin-Luther-University Halle-Wittenberg. Halle (Saale), Germany

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.


2016 – 2022
Scientific Assistant
HASP Student Laboratory, Martin-Luther-University Halle-Wittenberg. Halle (Saale), Germany

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

2019 – 2022
Martin-Luther-University Halle-Wittenberg
Master of Science in Medical Physics
2015 – 2019
Martin-Luther-University Halle-Wittenberg
Bachelor of Science in Medical Physics

Projects

ScrAIbe-WebUI: No-Code Transcription for Research Teams — A Gradio-based, Docker-first web service that gives non-programmers access to the ScrAIbe transcription and diarisation stack.
ScrAIbe: Research-Grade Transcription & Diarisation — An open-source, PyTorch-based ASR toolkit combining Whisper with Pyannote diarisation, language ID, and confidence-aware outputs for real-world research audio.
Bachelor’s Thesis: EEG-Based Assessment of Consciousness — Investigating whether EEG-derived markers can track consciousness in propofol-sedated endoscopy patients in real time.
Master’s Thesis: Machine-Learned Compression of Gaussian Basis Sets — Using differentiable optimisation to compress Gaussian basis sets for ab initio DFT while preserving accuracy.

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)