Rate My Professor Maria Leosoky

Professor Maria Leosoky is the Chair of Medical Statistics in the National Heart & Lung Institute within the Faculty of Medicine at Imperial College London. She is a leading biostatistician whose research centers on the statistical analysis of complex health data. Professor Leosoky earned her PhD in Statistics. Her distinguished career includes prior roles as Professor of Biostatistics and co-Deputy Director of the Global Health Trials Unit at the Liverpool School of Tropical Medicine, as well as Associate Professor and Senior Lecturer in the Division of Epidemiology and Biostatistics at the School of Public Health, University of Cape Town. She currently serves as Head of the Genomic and Environmental Medicine section and Co-Lead for the NHLI's People and Culture Committee.

Professor Leosoky's research specializations lie in biostatistics, with particular emphasis on developing biostatistical methods for the longitudinal analysis of lung health and tuberculosis burdens in Africa, as well as applications of R programming. She has garnered major awards and fellowships, including the Academy of Medical Sciences Professorship scheme, the EDCTP Senior Fellowship (TMA2017SF-1959, 2018) for novel statistical approaches to lung health and TB risks, and the Newton Advanced Fellowship. With over 6,250 citations on Google Scholar, her key publications encompass 'The effect of pneumococcal conjugate vaccines' (Liverpool School of Tropical Medicine), 'Association of a cleaner-burning stove with blood pressure in adults' (2025), 'Screening for post-TB lung disease at TB treatment completion' (2024), 'A review of simulation models for the long-term consequences of tuberculosis' (2021), and contributions to initiatives like IMPALA, CHEST Africa, and PATS on respiratory and infectious diseases. Her work significantly impacts global health research, particularly in low- and middle-income countries through advanced modeling and international collaborations. She has also secured funding from organizations such as NIHR.