Cloud engineer and bioinformatician at DKFZ in Heidelberg, working on GHGA — Germany’s national infrastructure for sharing sensitive human genomic data.
My background is in computational biology (PhD on tRNA modifications and protein turnover), but I’ve spent the last few years moving closer to the infrastructure side: cloud platforms, data pipelines, and bioinformatics workflows at scale.
- Genomics infrastructure — secure data storage, access control, and processing of omics data following GA4GH standards
- Trusted research environments — building cloud-based TREs that let researchers work with sensitive genomic data without it ever leaving a controlled environment
- Bioinformatics pipelines — Nextflow, Dataflow, and whatever the data actually needs
- Cloud & DevOps — AWS / GCP, Terraform / Pulumi, containers, CI/CD
- Proteomics tooling — maintaining open source libraries for mass spectrometry data
Rust. Slowly.
If you work on TREs, genomics data infrastructure, or computational mass spectrometry and want to exchange ideas, feel free to reach out.