Daniel Nyogea is a Research Associate for the "Autonomous Learning for Remedial Education" project. The project aims to accelerate learning among early-grade children using the latest technologies. Daniel has previously worked in data management, data analysis, and research studies in various organizations. Daniel has published five papers in peer review journals and has a keen interest in educational research. He has a PhD from Basel University and a Master's in Biostatistics from the University of Witwatersrand-South Africa