Daniel Mwanga is a senior data scientist and researcher at the African Population and Health Research Center (APHRC), heavily involved in data science, data governance and impact evaluations and related projects.

Daniel's PhD in Statistics focused on methods for addressing attrition in epilepsy studies and he has a Master of Science in Statistics and Master of Arts in Impact Evaluations. His research interests are in building data systems and using data science methodologies and tools to answer questions in health and development, including mental and neurological diseases. Daniel has published over 40 peer-reviewed papers and presented in multiple international conferences. Some of his latest publications are on estimating the prevalence of epilepsy, evaluation of methods to account for missing data in epilepsy studies and how solutions such as reproducible and integrated dashboards can facilitate evidence-informed decisions by making data more easily available. Daniel also leads data governance work at APHRC, where, together with the team, he provides technical advice to researchers on issues of data privacy, data sharing and offers technical support on data management systems.