Engineering Experts

Ngianga-bakwin Kandala

Professor of Biostatistics
Mathematics, Physics and Electrical Engineering
Northumbria University
United Kingdom


Ngianga-Bakwin is Professor of Biostatistics at Northumbria University, UK. Ngianga-Bakwin is Professor of Biostatistics at Northumbria University, UK. Prior to this, he worked as Head of the Health Economics and Evidence Synthesis Research Unit at the Luxembourg Institute of Health, Luxembourg and was an Associate Professor in Health Technology Assessment, a joint appointment with the University of Oxford and the University of Warwick. He has previously worked in many academic institutions and in various positions as a Medical Statistician at the University of Southampton and King’s College London; a Mellon Foundation Fellow at the University of Montreal, Canada; Associate Professor at the University of Botswana and Associate Lecturer at the University of Lagos, Nigeria. He is also affiliated with the University of Witwatersrand, South Africa as a Distinguished Professor of Biostatistics. He obtained a PhD in Economics/Statistics from the University of Munich (LMU) in Germany in February 2002. For the past 15 years, his main research interests are in Bayesian statistical methods and their application to epidemiology and health, in particular, addressing maternal and child health and a variety of health-related health inequalities both in the developing countries and command economies, using large scale household data. Kandala has published widely in high impact peer review journals in both the field of Statistics and health in diverse populations. He recently published a book with Springer Science on ‘Advance Techniques in modelling Maternal and child health in Africa’ (2014).

Research Interest

Bayesian Diseases mapping, Capacity building in Biostatistics


  • Kinyoki DK, Kandala N-B, Manda SO, Krainski ET, Fuglstad G-A, Moloney GM, Berkley JA, Noor AM. Assessing co-morbidity of wasting and, stunting among children in Somalia. BMJ Open. 2016 Mar 9;6(3):e009854.

  • The Subnational Estimates Working Group of the HIV Modelling Consortium. Evaluation of Geospatial Methods to Generate Subnational HIV Prevalence Estimates for Local Level Planning. AIDS (2016).

  • Schmidtke K, Poots A, Vlaev I, Kandala N-B, Lilford R. Considering Chance in Quality and Safety Performance Measures. BMJ Quality & Safety 2016;0:1–9.

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