A/Prof Maia Lesosky

Associate Professor Maia Lesosky
Division of Epidemiology and Biostatistics
School of Public Health and Family Medicine
Tel:  021 650 4532
Biostatistician & Associate Professor, Division of Epidemiology & Biostatistics, School of Public Health, Contributing Investigator with CIDRI-Africa (Wellcome Trust Centre), and with the NIHR Unit IMPALA studying respiratory outcomes across Africa. Maia has previously worked as Senior Lecturer – Medical Statistics – in the Department of Medicine at the University of Cape Town, as Extraordinary Lecturer in the Faculty of Veterinary Sciences at the University of Pretoria and as a research fellow at the University of Edinburgh, Institutes of Evolutionary Biology, Immunology and Infections Research and the Roslin Institute and at the Institute of Mathematics, Aalto University. She completed her PhD in 2009 in the Department of Mathematics and Statistics at the University of Guelph, Canada with research on statistical inverse problems. Current interests are in supervised learning as related to cytokine and other biomarker assay profiles, particularly in TB disease progression and Bayesian mixture models for longitudinal HIV viral load data. Constant distractions are statistical graphics, ‘composite’ statistical methods, algorithmic statistical methods (aka machine learning) and R programming. The Biostats lab [link: https://biostatslab.wordpress.com/] works with the Cape-R Users Group to promote R programming around the Cape and wider afield, please join if you are local to Cape Town (twitter @CapeRUser). We also run a regular statistical methods seminar series on the Health Sciences Faculty – announced on web and via twitter (@EpiBiostats_UCT).