Prof Samuel Manda
University of Pretoria
Samuel Manda is a full Professor and Head of the Department of Statistics at the University of Pretoria, Pretoria, South Africa. Professor Manda obtained his BSc (Hons) in Mathematics from the University of Malawi, MSc in Mathematical Statistics from the University of Sheffield, and PhD in Bayesian Statistics from the University of Waikato. Subsequently, he did postdoctoral studies in nonparametric Bayesian survival statistics at the University of Auckland, New Zealand. He has served as Director of the Biostatistics Research Unit at the South African Medical Research Council, South Africa. Previously, Prof Manda was at the University of Leeds, United Kingdom. His main research areas have been in the development and application of Bayesian multivariate spatial models, and advanced statistical methods for multivariate survival data. However, he has recently been working on some problems in joint models of longitudinal and time-to-event data; estimation issues in causal inference, and topics in data and evidence integration. Prof Manda has over 160 referred publications and co-authored/co-edited 12 books/chapters on biostatistics methods and applications. He is a National Research Foundation-rated scientist and is a Visiting Professor in Statistics at the University of Malawi and holds Extraordinary Professorships at the Universities of Stellenbosch and an Honorary Research Professor at the University of Kwazulu-Natal. Prof Manda’s science contributions also cover postgraduate supervision and membership of national and international technical committees. Over the years, he has supported several major health projects funded by major funding agencies including World Health Organisation, UNICEF, Global Fund, UK Medical Research Council, the Centres for Disease Control and Prevention, and United Nations Children's Fund (UNICEF). He has supervised over 35 MSc and Ph.D. students in Biostatistics and is Co-Principal Investigator (CoPI) for the DELTAS Africa Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) and the eR-BioStat International Training Program (ITP): Development of Local E-learning Platforms in (Bio)Statistics.