Computational biologist building reproducible pipelines for genomics and transcriptomics analysis. I combine wet-lab expertise with software engineering to solve problems in disease genomics and single-cell biology.
- 🎓 Dual MSc in Molecular & Cellular Biology (LMU Munich) and Computer Engineering (Boğaziçi University)
- 🧬 Focused on variant analysis, single-cell RNA-seq, and pipeline automation
- 📊 Published researcher in computational biology and synthetic biology
- 💻 Building scalable bioinformatics tools for translational research
Programming & Tools:
Python • R • Snakemake • SLURM • Git • Linux/Unix
Bioinformatics:
GATK • 10x Genomics Chromium • Scanpy • CellTypist • scRNA-seq analysis • Variant calling pipelines
Computational:
High-performance computing (HPC) • Workflow automation • Machine learning for biological data
-
Sample-Multiplexed FACS-Preprocessing of PBMCs - bioRxiv, 2024
Scalable single-cell RNA-seq protocol development (doi:10.1101/2025.11.06.687014) -
BioRxToolbox: Genetic Circuit Design Framework - Synthetic Biology, 2024
First author (doi:10.1093/synbio/ysae015)
Working on computational pipelines for evolutionary genomics and transcriptomics-based variant discovery in complex diseases. Interested in single-cell technologies, spatial omics, and AI applications in biology.
- 📧 [email protected]
- 🆔 ORCID
Open to bioinformatics software engineering and computational biology opportunities