Computational Biologist & Bioinformatics Engineer
Statistical Genetics · Multi-Omics · Single-Cell Genomics · Scientific Software
I'm a postdoctoral computational biologist working at the intersection of statistical genetics, multi-omics integration, single-cell genomics, and bioinformatics software engineering.
My work ranges from developing R packages for network-based multi-omics integration to building large-scale genomic pipelines on HPC/cloud infrastructure and GPU-accelerated web applications for single-cell analysis.
I completed my PhD in Bioinformatics at Universität Bonn, where I worked on microbiome and multi-omics analyses of clinical dietary-intervention studies.
- 🧬 Statistical genetics, GWAS/MAGMA, pQTLs and cross-ancestry genomics
- 🧪 Multi-omics integration across transcriptomics, proteomics, metabolomics, microbiome and genetics
- 🧠 Single-cell and single-nucleus RNA-seq analysis
- ⚙️ Reproducible bioinformatics pipelines using Nextflow, Snakemake, Docker and SLURM
- 💻 Scientific software development in R, Python and modern web frameworks
- 📄 Recent work published in Nature Communications and Gut Microbes
Full-stack, GPU-accelerated single-cell RNA-seq analysis platform for HPC environments.
Built with Next.js/React, FastAPI, RAPIDS/CUDA and SLURM, the platform runs an interactive single-cell workflow from QC through dimensionality reduction, clustering, differential expression and annotation on A100 GPUs.
The system includes dynamic GPU-worker orchestration, Seurat-to-AnnData conversion, large-dataset caching, interactive visualizations and an LLM-assisted analysis layer.
Contributor / Developer
Contributed to the continued development and modernization of hCoCena, an R framework for network-based horizontal integration and analysis of transcriptomic datasets.
The current package provides a Bioconductor-style workflow for correlation-network construction, module detection, multi-dataset integration, functional enrichment, cell-type analysis, longitudinal analysis and downstream biological interpretation.
My work has included development, debugging, performance and workflow improvements around the modernized package ecosystem.
Developer / Maintainer
Developed and maintain an R package implementing Vertical CoCena², extending network-based integration across heterogeneous omics layers.
The workflow constructs co-expression networks independently across layers and integrates them into shared multi-omic modules.
Engineering work includes:
- R-package development
- reproducible installation and dependency management
- Docker-based execution
- GitHub Actions CI
- automated testing and regression checks
- pkgdown documentation
- reproducibility against published Vertical CoCena² analyses
Built a high-throughput Nextflow/SLURM statistical-genetics pipeline to train genetic predictors for ~2,900 plasma proteins using UK Biobank Olink proteomics and genotype data.
The models are applied to ancient genomes and 1000 Genomes reference populations to investigate temporal and ancestry-related variation in genetically predicted protein abundance.
The project includes:
- SNPBOOST model training
- PLINK/PLINK2 scoring
- ancient-genome and 1000 Genomes prediction
- ancestry-adjusted regression
- PCA and population-genetic analyses
- scalable HPC execution
- Flask/Plotly interactive result exploration
Developed an R/SLURM analysis framework comparing European and African ancestry genetic architecture across Million Veteran Program traits.
The workflow integrates:
- MAGMA gene-based association statistics
- pathway enrichment
- single-cell-informed cell-type associations
- cross-ancestry concordance and divergence metrics
- large-scale HPC processing
The analysis examines when genetic signals remain conserved across ancestries and when divergence emerges at gene, pathway and cell-type levels.
Statistical Genetics
Multi-Omics Integration
Single-Cell Genomics
Transcriptomics
Proteomics
Microbiome
Network Biology
Scientific Software
Machine Learning
HPC
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Klümpen, Mantri, et al. Cholesterol-lowering effects of oats induced by microbially produced phenolic metabolites in metabolic syndrome. Nature Communications (2026). DOI: 10.1038/s41467-026-68303-9
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Klümpen, Mantri, et al. Calorie-restricted oat diet is associated with zonulin and short-chain fatty acid response in metabolic syndrome. Gut Microbes (2026). DOI: 10.1080/19490976.2026.2662687
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TBK1/TNFRSF13B COVID-19 susceptibility study. npj Genomic Medicine (2021). DOI: 10.1038/s41525-021-00220-w