معرفی
Robin Alexander is a Research Fellow in Medical Statistics at the University of St Andrews' School of Medicine. She holds an M.Sc. in Statistics from The Ohio State University (2014–2016). Her research focuses on applying statistical methods to investigate cardiovascular disease risk factors, pediatric critical care outcomes, surgical interventions, and perinatal epidemiology. Key areas include trace element analysis in biomarkers, thrombosis post-gastric bypass, and birth outcomes related to cesarean sections. Collaborations involve global networks such as the Bronchiolitis And COdetectioN (BACON) Study Investigators and the Red Colaborativa Pediátrica de Latinoamérica Network. Recent studies address pediatric respiratory infections, ECMO patient management, and neonatal biomarker meta-analyses.
Education:
- M.Sc. in Statistics, The Ohio State University, 2014–2016
Research Interests: Medical statistics applied to cardiovascular diseases, pediatric critical care, surgical outcomes, and perinatal epidemiology. Specific topics include biomarker analysis, maternal-fetal environment impacts, and clinical trial emulation. Her work bridges statistical methodologies with clinical applications in neonatology, cardiology, and infectious diseases.
Publications Trends: Recent articles emphasize translational research, including cardiovascular risk biomarkers, post-surgical hemostasis, and pediatric critical care challenges. Collaborations highlight interdisciplinary approaches to address global health issues, such as improving ECMO protocols and reducing disparities in developmental screening.
Awards: No awards explicitly listed.
Grants & Teams: Involved in datasets like the fibrin clot properties study (Roux-en-Y gastric bypass outcomes). Contributes to SDG 3 (Good Health) and SDG 4 (Quality Education) through research and statistical training initiatives. Active in collaborative projects addressing pediatric respiratory infections and maternal-fetal health.
Labs/Teams: Engaged in multidisciplinary teams within the School of Medicine, including collaborations with institutions in Latin America and the United States. Data sharing initiatives support open science practices in medical statistics.
