Ahmad Rafi

Professor Ahmad Rafi is a faculty member in the Department of Clinical Bioinformatics at UiT The Arctic University of Norway, located in Tromsø. He leads research focused on rapid clinical diagnostics of bacterial infections and antimicrobial resistance (AMR), leveraging advanced technologies like nanopore sequencing and machine learning. His work emphasizes One Health perspectives, integrating human, animal, and environmental health domains.

Research Interests:

• Development of rapid diagnostic tools for AMR and pathogen identification
• Integration of genomic sequencing (WGS) and real-time taxonomic analysis
• Optimization of clinical workflows for sepsis and urosepsis management
• Multi-omic approaches combining quantitative phase microscopy and machine learning

Recent Publications Highlight: His team has achieved diagnostic turnaround times as low as 4–9 hours using nanopore sequencing for sepsis and urinary tract infections. Innovations include culture-independent methods and SERS nanowire chips for strain-level bacterial classification.

Advising & Grants: While specific student names or grant details aren’t listed, his involvement in projects like AMR-Educate reflects collaborative efforts in education and innovation around antimicrobial resistance.

Labs/Teams: Active member of the Clinical Bioinformatics Research Group, contributing to translational research bridging computational methods with clinical applications.