About Me

I don't just analyze genomic data; I understand the clinical reality behind every sample.

With over a decade of leadership in Clinical Microbiology and a Master's in Bioinformatics from the University of Birmingham, I bridge the gap between complex laboratory diagnostics and scalable computational engineering. My career has been defined by building systems from managing large-scale clinical operations to designing interpretable deep-learning models for Multidrug Resistance (AMR).

Professional Focus

I work at the intersection of AMR genomics and machine learning. I develop reproducible computational workflows for pathogen genomics and resistance prediction.

Why I bring unique value to European Biotech & Clinical Teams:

• Clinical Authority: 10 years of hands-on experience managing clinical labs and diagnostic workflows. I understand the "wet lab" constraints that many bioinformaticians overlook.
• Engineering Rigor: Specialist in building reproducible, production-grade pipelines using Nextflow, Python, and R, deployed on AWS/Cloud infrastructure.
• Academic Excellence: MSc from a Global Top 100 university (Birmingham), focusing on high-impact research in Klebsiella pneumoniae and AMR prediction.
• Leadership Maturity: Proven track record in project lead roles, managing budgets, training staff, and implementing complex diagnostic technologies in high-pressure environments.

Technical Toolkit:

• Bioinformatics: NGS analysis, WGS pipelines, genome assembly, AMR gene detection, annotation
• Machine Learning: DNABERT2, transformers, sequence classification, PyTorch, Scikit-learn
• Pipeline Engineering: Nextflow DSL2, nf-core, Docker/Singularity, Conda, GitHub Actions
• Languages: Python (Pandas, Scikit-learn), R (Tidyverse, Bioconductor), Bash/Linux, FastAPI, SQL
• Laboratory: Clinical microbiology workflows, AST/AMR interpretation, MALDI-TOF, VITEK, QC systems

I am currently focused on advancing clinical genomics through remote collaboration within the European ecosystem. Eligible for the EU Blue Card.

Let's connect to discuss how I can help scale your clinical bioinformatics infrastructure.