Imperial College London


Faculty of MedicineDepartment of Infectious Disease

Honorary Clinical Research Fellow



+44 (0)20 3313 2732richard.wilson Website




7.S7aCommonwealth BuildingHammersmith Campus





Richard is a Research Pharmacist currently undertaking a PhD in the development and integration of novel technologies and interventions to improve antimicrobial prescribing. He is part of the David Price Evans Group in Infectious Disease and Global Health (University of Liverpool), Centre for Antimicrobial Optimisation, and Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance (Imperial College London).

Richard graduated with a MPharm from the University of Manchester in 2010 having completed his dissertation in the Centre for Applied Pharmacokinetic Research. After completing his clinical training at Imperial College Healthcare NHS Trust he went on to specialise in Critical Care Medicine and holds an MSc in Critical Care from Cardiff University. Richard continues to work clinically with the infection service as an antifungal stewardship pharmacist.



Rawson TM, Antcliffe D, Wilson R, et al., 2023, Management of bacterial and fungal infections in the ICU: diagnosis, treatment, and prevention recommendations, Infection and Drug Resistance, Vol:16, ISSN:1178-6973, Pages:2709-2726

Freeman DME, Ming DK, Wilson R, et al., 2023, Continuous Measurement of Lactate Concentration in Human Subjects through Direct Electron Transfer from Enzymes to Microneedle Electrodes, Acs Sensors, ISSN:2379-3694

Riezk A, Vasikasin V, Wilson RCC, et al., 2023, Triple quadrupole LC/MS method for the simultaneous quantitative measurement of cefiderocol and meropenem in serum, Analytical Methods, Vol:15, ISSN:1759-9660, Pages:746-751

Riezk A, Wilson RC, Rawson TM, et al., 2023, A rapid, simple, high-performance liquid chromatography method for the clinical measurement of beta-lactam antibiotics in serum and interstitial fluid, Analytical Methods, Vol:15, ISSN:1759-9660, Pages:829-836

Bolton W, Rawson T, Hernandez B, et al., 2022, Machine learning and synthetic outcome estimation for individualised antimicrobial cessation, Frontiers in Digital Health, Vol:4, ISSN:2673-253X, Pages:1-12

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