- 15+ years in clinical microbiology, 4 years computatoinal biology/bioinformatics
- Bioinformatics researcher specializing in microbial genomics and antimicrobial resistance (AMR)
- Building machine learning models to combat antibiotic resistance and analyze pathogen evolution
- Developing Python/FastAPI solutions for genomic data processing and analysis
- Expert in phylogenomics, comparative genomics, and resistome analysis
- Passionate about reproducible research and open science in infectious disease genomics
- Machine learning for AMR prediction and surveillance
- Microbial genome assembly and annotation pipelines
- Population genomics of bacterial pathogens
- Bioinformatics tool development for clinical microbiology
- Languages: Python, R, Bash/Shell
- Frameworks: FastAPI, Nextflow
- Genomics: BWA, SAMtools, SPAdes, Prokka, Roary, Bakta, ResFinder, CARD, AMRFinderPlus, QIIME2
- ML/Data: scikit-learn, pandas, Biopython, TensorFlow/PyTorch
- 📧 Contact: nasir.nesirli@gmail.com
- 🔗 Links:
"Decoding microbial resistance through data science"