MSc Bioinformatics graduate bridging wet-lab microbiology with computational genomics. Specializing in bacterial defence system architecture and its implications for antimicrobial resistance.
Acinetobacter Defence Systems: Analyzing 500+ bacterial genomes to map defence system distribution and their correlation with antibiotic resistance genes using DefenseFinder and PADLOC pipelines.
Comprehensive analysis of defence system architecture in Acinetobacter species
Tools: DefenseFinder, PADLOC, CRISPRCasFinder, ResFinder
Languages: R, Bash
Key Finding: Identified novel correlations between defence, anti-defence systems, mobile genetic elements and antibiotic resistance genes.
Automated workflow for bacterial defence system analysis
Features: Genome download, defence system prediction, resistance gene prediction, IME prediction, and EDA
Built with: Snakemake, Python, Bash
Status: Production-ready
Comparative analysis of RNA-seq workflows in R and Python
Goal: Benchmark differential expression analysis between DESeq2 (R) and alternative Python implementations
Status: In development
Bioinformatics: NGS analysis • Bacterial genomics • Defense system prediction • Transcriptomics
Languages: R • Python • Bash • SQL
Key Tools: DESeq2 • DefenseFinder • PADLOC • Snakemake • Galaxy
Analyzed 500+ Acinetobacter genomes for defence system patterns
Developed automated pipelines reducing analysis time by 70%
Published 3 peer-reviewed papers on antimicrobial resistance
Currently seeking opportunities in bacterial genomics, antimicrobial resistance research, and bioinformatics pipeline development.