Prof Ann Mwangi

Moi University

Ann Wanjiru Mwangi holds a PhD in Biostatistics from Brown University, USA, masters’ degrees (Biostatistics and Applied Statistics) from Hasselt University, Belgium and Bsc from JKUAT, Kenya. She is an Associate Professor of Biostatistics and Associate Dean in charge of Research and Innovation, Moi University Kenya. She is involved in training and supervising undergraduate and graduate students in the School of Science and College of Health Sciences. She has been a Biostatistician for the Academic Model Providing Access to Health Care (AMPATH) program for the last 16 years during which several papers have been published in peer-reviewed journals. Her research interests are in Data Science, Causal Inference, methods for addressing bias when using observational data in resource limited settings in HIV & AIDS, Chronic Diseases among others. She is a Co-Investigator on several funded grants, including a D43 & DSI training grant, an R01 to optimize HIV treatment and R01 on Data Science for Clinical decision support that aims to utilize big data to develop a clinical decision support to improve retention and viral suppression in western Kenya among others within AMPATH. She has extensive experience in Quantitative Research Methods, Grant writing, Manuscript writing and Data Analysis.

Prof David Macleod

London School of Hygiene and Tropical Medicine

David Macleod is an Associate Professor at London School of Hygiene and Tropical Medicine, one of the two Northern partners in SSACAB II. He is a statistician in the International Statistics and Epidemiology Group (ISEG), primarily supporting a wide range of studies in the International Centre for Eye Health (ICEH). He has also worked in HIV research, on the PopART cluster randomized trial of Universal Testing and Treatment, and in maternal health looking at the roles of the public and private health care in maternal and newborn health.

Prof Henry Mwambi

University of KwaZulu Natal

Prof Henry Godwell Mwambi is a co-applicant for Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB)Training programme. He is an Associate Professor at the School of Mathematics, Statistics and Computer Science, University of Kwazulu Natal. He has taught both theory and applied statistics at undergraduate and post-graduate levels. His main application areas are in the biological and health sciences particularly modelling population and disease dynamics. Prof Mwambi's main research area is on statistical and mathematical modeling and analysis of infectious disease processes at the individual and population level. He currently works with PhD and Masters students on various topics in biostatistics and epidemiology such as the analysis of non-Gaussian longitudinal and clustered disease outcome data, survival analysis, modelling recurrent event longitudinal data with reference to epilepsy, and infectious disease modelling.

Prof Kerstin Klipstein-Grobusch

University Medical Center Utrecht

Kerstin Klipstein-Grobusch, MSc, MSc, PhD is an Associate Professor and Vice-Chair Global Health at the Julius Center for Health Sciences and Primary Care, Department of Global Public Health and Bioethics, University Medical Center Utrecht, The Netherlands & Visiting Professor at the School of Public Health, University of the Witwatersrand, South Africa.

She is an epidemiologist with over 25 years of experience in international research and research capacity building such as Sub-Saharan African Consortium for Advanced Biostatistics (SSACAB) or the ‘Capacity Strengthening of Transdisciplinary Education for Non-Communicable Disease Care in West Africa (CAPSTONE)’. She has supervised and mentored over 100 Master, PhD and postdoctoral fellows and published over 300 peer-reviewed papers.

Her research focusses on the etiology, prevention and management of cardiovascular disease, double burden of malnutrition and co- and multimorbidity of communicable and non-communicable disease in a global context. She is the Utrecht based principal investigator on several implementation science projects that aim to improve and scale-up care for hypertension in Africa, Asia and Europe such as the ‘Integrating heart health in HIV care in South Africa (iHEART-SA)’ and ‘Scaling-up diabetes and hypertension in vulnerable populations (SCUBY)’ project.

Academic and societal activities include memberships of institutional committees and academic/research networks. Amongst others, she is Associate Editor of the World Health Federations’ scientific journal Global Heart and Executive Board Member of the European Global Health Research Institutes Network (EGHRIN).

Prof Romain Glèlè Kakaï

University of Abomey-Calavi

Romain Glèlè Kakaï is a Professor of Biometry and Coordinator of the Master Programme in Biostatistics and PhD programme in Biometry at the University of Abomey-Calavi (Benin). He is the head of the “Laboratoire de Biomathématiques et d’Estimations Forestières” and Director of the Humboldt Research Hub on Socio-Ecological and Spatio-temporal Modeling of COVID-19 in Africa. He is also a Malaria modeling expert at the Vaccine Impact Modeling Consortium, funded by GAVI and the BMGF. He was an Alexander von Humboldt research fellow in Biometry at the University of Freiburg (Germany, 2007-2008). He is a guest lecturer in Biostatistics in Ghana, Cote d’Ivoire, Togo and Niger. He has supervised eight PhD and more than 45 MSc students in Biometry/Biostatistics and has co-authored more than 200 peer-reviewed journal articles in Statistics and Forest modeling. His current statistical interest is Infectious disease modeling and AI and Machine Learning in Health and Agriculture.

Dr. Sam Kinyanjui

KEMRI-Wellcome Trust Programme, Kenya

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 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.