معرفی
Kim May Lee is a Research Fellow at King’s College London (since 2021), specializing in clinical trial methodology. She previously held roles as Lecturer in Medical Statistics at Queen Mary University of London (2020–2021) and Research Associate at the MRC Biostatistics Unit, University of Cambridge (pre-2020). She earned her PhD in Statistics from the University of Southampton, following an undergraduate degree in Mathematics with Actuarial Science from the same institution.
Her research focuses on advancing clinical trial methodologies, particularly adaptive designs, platform trials, and subgroup analysis. Key interests include improving trial efficiency through personalized approaches, handling missing data, and optimizing experimental designs. She also provides statistical consultation for clinical trials and has lectured in medical statistics across multiple institutions.
Recent publications emphasize innovative trial designs, sample size calculations, and methodological challenges in adaptive approaches. Notable work includes evaluating the Personalised Randomized Controlled Trial (PRACT) framework and exploring the impact of heterogeneity in platform trials.
Her expertise bridges statistical rigor with practical clinical applications, addressing gaps in trial conduct and data quality. Current research trends highlight collaboration with multi-disciplinary teams to enhance methodological solutions for modern clinical challenges.
