معرفی
Callum Glen serves as a Research Associate and Statistician within the Department of Biostatistics & Health Informatics, contributing to clinical trial design and analysis across mental health and rehabilitation research. His work focuses on evidence-based interventions for posttraumatic stress disorder (PTSD) in military populations and pulmonary rehabilitation methodologies, with collaborations spanning multiple international institutions.
Education
- Master in Science in Medical Statistics, London School of Hygiene & Tropical Medicine (awarded December 2021) for research on the Human Transplantation (Wales) Act 2013
- Bachelor of Science in Biochemistry, Swansea University (awarded July 2020) investigating the clinical costs of measles outbreaks
Glen's research integrates biostatistics with mental health applications, specializing in PTSD treatment comparisons (reconsolidation protocols vs. cognitive behavioral therapy) and remotely delivered psychosocial interventions for suicidal crises. His methodological expertise includes adaptive trial designs and feasibility studies, addressing critical gaps in veteran mental healthcare and respiratory rehabilitation through rigorous statistical analysis.
Recent publications demonstrate a consistent focus on randomized controlled trials across diverse health domains, with emerging emphasis on digital mental health solutions and equipment efficacy in pulmonary rehabilitation. This trajectory highlights growing contributions to clinical trial methodology in complex therapeutic areas requiring sophisticated statistical approaches.
No scientific awards or fellowships were documented in the source material.
Information regarding academic advising responsibilities or principal investigator roles in research grants was not available in the provided text.
Glen actively participates in multidisciplinary research networks, notably the RAPID study consortium for remote psychosocial interventions and PTSD trials for UK military veterans. These collaborations involve clinicians, psychologists, and health informatics specialists focused on translating statistical insights into practical clinical solutions for high-need populations.
