Portrait of Rayk Kretzschmar

Rayk Kretzschmar

PhD Candidate at Friedrich Schiller University Jena

I develop computational methods to predict metabolite structures and functions from mass spectrometry data.

Publications

Scholarly Output

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Software and Data

Repositories

Research software and data assets are prioritized over general side projects.
For more projects please visit my GitHub profile.

LightningIR

One-stop shop for fine-tuning and running neural ranking models.

Contributions: Implemented retrieval models, conducted experiments, and improved documentation.

Status: Published

Open repository project

Gravity Simulator

Interactive N-body sandbox with orbital dynamics, collision merging, and debris fragments.

Click-drag to launch bodies with velocity vectors and pan the camera with WASD or arrow keys.

Status: Available

Open gravity simulation

CV

Academic Profile

Structured for academic evaluation with optional concise industry-facing documents.

Education

  • M.Sc. Computational and Data Science
    Friedrich Schiller University Jena
  • B.Sc. Bioinformatics
    Friedrich Schiller University Jena

Positions

  • Currently: Research Associate at FSU Jena (Böckerlab)
    Computational Metabolomics
  • Previously: Scientific Assistant at FSU Jena (Webis Group)
    Information Retrieval
  • Previously: Student Assistant at DLR (Machine Learning Group)
    Explainable Machine Learning

Funding

  • ERC Advanced Grant: BindingShadows

Teaching and Service

  • Open lab and coursework supervision in efficient and parallel computing
  • Evaluation and feedback on weekly student submissions

Talks and Teaching

Scientific Communication

Conference presentations, posters, and educational contributions.

Rayk Kretzschmar presenting at the lectern during CLEF 2026 in Jena

Conference talk · CLEF 2026

Evaluating Pre-training Objectives for TITE

Presented at the 17th International Conference of the CLEF Association in Jena, Germany, on 23 September 2026.

With Ferdinand Schlatt and Matthias Hagen.

Posters

  • AI in Cancer Research
    Presented at the AI Summer School, FSU Jena (2023)

Lectures and Tutorials

  • Hands-on support and instruction for efficient and parallel computing courses.

Supervision and Mentoring

  • Open lab support for project-based student work.

Contact

Get in Touch

If you want to contact me for whatever reason, please use the form below.

Contact Form