About
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
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