Dr Samuel Iddi

Multimorbidity in Africa: Digital innovation, visualisation and application

Samuel is a research scientist specialized in biostatistics and data science, with a rich research portfolio, underpinned by cutting-edge statistical/methodological research and the application of innovative research techniques to advance public health and biomedical research. He currently works at the African Population and Health Research Center (APHRC). He is a co-investigator of the MADIVA project that employs machine and deep learning to address problems related to the multimorbidity of non-communicable diseases. Samuel is the chair of the Data Management Working Group of the DS-I Africa Consortium. He is a recognized trainer in statistical software, statistical methods, data management and analysis, impact evaluation methods, etc., and has provided training workshops and mentorship for researchers and students.

Dr Francis Agamah

DS-I Africa Coordinating Center

Francis E. Agamah is the project coordinator at the DS-I Africa Coordinating Center based at the University of Cape Town, South Africa. He is involved with coordinating DS-I Africa working groups, partnerships and outreach engagements, as well as coordinating activities among the DS-I Africa research hubs, training programs and ELSI projects.

Mr James Orwa

UtiliZing health Information for Meaningful impact in East Africa through Data Science

James Orwa is a health scientist and biostatistician with an MSc in Biostatistics from Hasselt University (2012), a BSc in Applied Statistics from Maseno University (2005), and a PhD in Health Sciences from Ghent University (2024). His professional experience spans prestigious institutions, including the Aga Khan University Hospital, KEMRI-CDC, and the US Centers for Disease Control and Prevention, where he has served as a Biostatistician, Data Manager, and Clinical Research Statistician. His expertise covers clinical research, data management, monitoring and evaluation, and data analysis. His research focuses on maternal and newborn health, with extensive publications on topics such as maternal healthcare utilization, contraceptive use, and birth preparedness. He has contributed as a statistician to NIH-funded grants and mentors graduate students and trainees in the field.