Prof Samuel Manda Staff Profile

Chief Specialist and Professor of Biostatistics

PhD. (New Zealanda), MSc. (UK), BSc. Hons. (Malawi)
samuel.manda@mrc.ac.za   

Professor Samuel Manda obtained his BSc (Hons) in Mathematics from University of Malawi, MSc in Mathematical Statistics from University of Sheffield and PhD in Bayesian Statistics from University of Waikato. He currently works as Chief Specialist at South African Medical Research Council in Pretoria and he is a visiting Professor in the Department of Mathematical Sciences at Chancellor College, University of Malawi. He has expertise in Bayesian multivariate spatial statistics methods, complex sample survey analysis methods and Bayesian nonparametric methods for correlated survival statistics. He has developed and mastered many state-of-the art Bayesian Methods and applications. He is well known and recognized as a regional and international expert in statistics methods and applications for the sub-Saharan African region’s many health problems including Maternal and Child Health (MCH), HIV/AIDS and Non-Communicable Diseases (NCDs). He has previously served at the Universities of Auckland in New Zealand and Leeds in the United Kingdom.

Professor Samuel Manda has over 50 publications to his name, most of which are first authored publications in statistical and epidemiology journals and peer reviewed book chapters. He has presented well over 35 invited talks at national and international conferences. Five of his six chapters in the recently published Springer books: Modern Methods for Epidemiology (2012) and Advanced Techniques for Modelling Maternal and Child Health in Africa (2014) were on spatial statistics. In addition to have had attended and presented at numerous national and international conferences, he is sharing his knowledge and skills with post-graduate students. He currently supervises 5 PhD students in statistics covering areas of longitudinal multivariate meta-analysis; multivariate spatial statistics; multilevel event history modelling; influential clustered survival data units; and joint longitudinal and time-to-event modelling and 3 PhD co-supervisions in public health and epidemiology. He is also supervising many masters students in statistics around the world.

His contributions to the Science System also cover a number of national projects such the National TB Prevalence and the Demographic and Health Surveys and the annual Antenatal HIV Prevalence surveys of the South African National Department of Health and International projects such as International Network for the Demographic Evaluation of Populations and Their Health in Developing Countries (INDEPTH), UNICEF IHSS Program Evaluation and NEPAD Health Statistics and Data Sources. He has recently facilitated Multilevel Models, Bayesian Methods and Spatial Statistics workshops in South Africa, Kenya and Ghana and has taught courses in Statistics for Clinical Trials and Survival Data Analysis at the Botswana International University of Science and Technology; Longitudinal Data Analysis, Bayesian Methods and Sample Survey Methods at the University of Malawi, Impact Evaluation of ME Programs at the University of Pretoria and Survival Data Models at the University of Witswaterand.

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About Chancellor College

Chancellor College is the largest among the constituent colleges of the University of Malawi. Ever since its establishment, the college has produced graduates who have gone on to become leaders in various sectors of Malawian society.

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