I am an incoming M.Sc. researcher in the Biodiversity and Ecosystem Health program at Goethe University Frankfurt (Winter Semester 2026/2027). My expertise lies in translating complex biological questions into automated command-line analytical pipelines. Having built a strong wet-lab foundation in biological sciences (CGPA 3.98/4.00), I now focus on evolutionary genomics, phylogenomics, and statistical modeling using Linux environments.
- 🔭 Current Focus: Developing automated Hidden Markov Model (HMM) pipelines for novel resistance gene discovery.
- 🌱 Learning: Advanced algorithmic bioinformatics, bash scripting, and reproducible pipeline architecture.
- 🎯 Open To: Research Assistant (HiWi) positions in computational evolution, ecology, and biological data analysis.
- Core Stack: Bash (Linux/Ubuntu), R, Python
- Bioinformatics: HMMER, MAFFT, FastTree, seqtk, EDirect, BLAST
- Data Science: RandomForest, ggplot2, raster, sf
| Project | Description | Tech Stack |
|---|---|---|
| Aspergillus Phylogenomic Pipeline | Automated CLI pipeline discovering 1,118 Cyp51A resistance genes using custom HMM profiles and maximum-likelihood trees. | Bash, HMMER, FastTree, R (ape) |
| Indus Valley Genomics | Population genomic analysis of Aegilops tauschii utilizing 56K SNPs to prove indigenous distinctness. | vcfR, adegenet, R |
| Nursery Mapping | Satellite monitoring via Sentinel-2 employing Random Forest classification to track forest phenology. | RandomForest, raster, sf |