Ali Fahmi

Ali Fahmi is a Research Fellow in Epidemiology and Statistics at Professor Tjeerd van Staa's team since March 2021. He holds a PhD in Computer Science from Queen Mary University of London (2022), focusing on Bayesian network models for Rheumatoid Arthritis (RA) management. His current work, supported by a NIHR DSE Fellowship, addresses adverse drug reactions in polypharmacy and antibiotic prescribing optimization. He contributes to the NIHR-funded BRIT2 project, developing a Knowledge Support System (KSS) for antibiotic prescribing in primary care using OpenSAFELY analytics.

Education:

• PhD in Computer Science, Queen Mary University of London (2022)
• MSc in Management Engineering, Istanbul Technical University (Turkey)
• BSc in Industrial Engineering, University of Tabriz (Iran)

Research Interests:

• Machine Learning & Explainable AI for healthcare
• Antimicrobial resistance and antibiotic stewardship
• Polypharmacy risks and adverse drug reactions
• Causal inference in epidemiological studies
• Public health impact of pandemics

Awards:

• NIHR Development and Skills Enhancement (DSE) Fellowship (2024)

Grants/Projects:

• BRIT2: Optimizing Antibiotic Prescribing in Primary Care
• OpenSAFELY platform research collaborations