Our PhD candidate series: Joseph Akuze Waiswa

Our PhD candidate series: Joseph Akuze Waiswa

Joseph is a trained statistician and public health officer, with a master’s in Public Health from the Braun School of Public Health & Community Medicine, The Hebrew University of Jerusalem, Masters, Post-Graduate Diploma and Bachelors of Statistics (Honours) from Makerere University.

He is doctoral fellow at the London School of Hygiene & Tropical Medicine, pursuing a methodological PhD through which he is developing methodologies for improved measurement of adverse pregnancy outcomes (stillbirths, early neonatal deaths and neonatal deaths) in standardized surveys (E.g. the Demographic and Health Surveys (DHS) or Multiple Indicator Surveys (MICS)) and Longitudinal Surveillance Systems (E.g. the Health and Demographic Surveillance Sites). Part of his PhD work has been published in the Lancet Global Health and has led to a change in global policy for measurement of pregnancy losses in DHS surveys.

At the Centre of Excellence Joseph works as the trial statistician of Action Leveraging Evidence to reduce perinatal Mortality and morbidity in Sub-Saharan Africa (ALERT), a multi-country stepped-wedged cluster (hospital) randomised trial in Benin, Malawi, Tanzania and Uganda. He is also the learning and adaptation officer on a USAID’s Maternal Newborn, Child Health and Nutrition program in Uganda. He previously worked as the assistant coordinator of the Makerere University Centre of Excellence for Maternal and Newborn Health Research.  Moreover, Joseph has experience in areas of Monitoring and Evaluation, Systematic Reviews and Meta-analysis in Cost Effective analysis, and Statistical computing and modelling.

Research interests

His research interests include: Maternal, newborn and child health epidemiology, stillbirth epidemiology, birth and deaths registration, statistical modelling, computational statistics, machine learning and equity and inequity analysis.

Leave a Reply

Your email address will not be published. Required fields are marked *