I work at the intersection of clinical microbiology, genomics, and machine learning, with a focus on antimicrobial resistance (AMR) and pathogen genomics.

• AMR Genomics: Building ML models for antimicrobial resistance prediction
• Pipeline Development: Creating end-to-end genomic workflows with Nextflow
• Clinical Diagnostics: Bridging wet-lab microbiology with computational analysis
• Pathogen Classification: Developing ML-based classification systems from raw reads

• Languages: Python, R, Bash
• ML/DL: PyTorch, scikit-learn, HuggingFace Transformers
• Bioinformatics: Nextflow, nf-core, SPAdes, Prokka, AMRFinder
• Data: Pandas, NumPy, Matplotlib
• Infrastructure: Docker, Git, FastAPI

• AMR-BERT Pipeline: Transformer-based AMR prediction using DNABERT2
• Genomic Workflows: Modular Nextflow pipelines for bacterial WGS analysis
• Pathogen Classification: ML models for species identification from sequencing data

• MSc Bioinformatics - University of Birmingham (2024-2025)
• 10+ years clinical microbiology & laboratory leadership
• Current: Leading multi-site clinical microbiology lab setup in Azerbaijan

• Website: nasirnesirli.com
• LinkedIn: Nasir Nesirli
• Email: nasir.nesirli@gmail.com
• ORCID: 0009-0005-3038-7781