AI-Driven Antimicrobial Resistance Surveillance
Systematic review and meta-analysis of machine learning models for predicting global antimicrobial resistance patterns, integrating Python, R, and DistillerSR.
MBBS
MSc Clinical & Molecular Microbiology
MSc Drug Discovery & Development
I am a medical doctor, MBBS, MSc Clinical & Molecular Microbiology, MSc and Drug Discovery & Development. My work bridges biomedical research, infectious diseases, and data science, with a particular focus on antimicrobial resistance, immuno-oncology, and AI-driven healthcare.
I am building a portfolio at the intersection of medicine, machine learning, and translational research — from systematic reviews and meta-analyses to bioinformatics pipelines and predictive modelling.
Systematic review and meta-analysis of machine learning models for predicting global antimicrobial resistance patterns, integrating Python, R, and DistillerSR.
Comprehensive review of T-cell signalling, immune checkpoint pathways, and metabolic rewiring in the tumour microenvironment, with publication-ready figures.
Pre-clinical and regulatory strategy for a nucleoside analogue in early-stage pancreatic cancer, including CMC, toxicology, and clinical trial design.
Presentations, tutorials, research clips, and more.
If you would like to collaborate on research, data science projects, or academic writing, feel free to get in touch.