She will be working with data from two ongoing research projects: the IMPALA project and the Drakenstein Child Health Study, both of which will collect a range of clinical, demographic, exposure and biomarker data on lung health under complex study designs.
Biostatistical methods for the analysis of such multifactorial clinical data are lacking, and few local biostatisticians or data analysts have the skills to carry out the analysis needed. Maia will develop methodology for the design and analysis of such studies, develop statistical design and analysis capacity among African clinical researchers and biostatisticians, and answer key clinical questions on the contributors to poor lung health, including susceptibility to TB and lower respiratory tract infections.
Maia is based in the Division of Epidemiology and Biostatistics at the University of Cape Town’s School of Public Health and Family Medicine. She will collaborate with Profs Kevin Mortimer and Bertie Squire at the Liverpool School of Tropical Medicine and Profs Heather Zar and Mark Nicol at the University of Cape Town (UCT).
Maia has previously worked as Senior Lecturer: Medical Statistics in the Department of Medicine at UCT, as Extraordinary Lecturer in the Faculty of Veterinary Sciences at the University of Pretoria, as a research fellow at multiple institutes at the University of Edinburgh, and at the Institute of Mathematics, Aalto University. She completed her PhD on statistical inverse problems in 2009 in the Department of Mathematics and Statistics at the University of Guelph, Canada.
Maia’s project is part of the EDCTP2 programme supported by the European Union (grant number TMA2017SF-1959-BioStat-LAB Africa).