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.
Dr Nondumiso Mthiyane
Establishing a findable, accessible, interoperable, and re-usable (FAIR) data resource for adolescent mental health research in Africa
UtiliZing health Information for Meaningful impact in East Africa through Data Science
Biostatistician
Dr Angela Koech
Performance of late pregnancy biometry for gestational age assessment in normal and small for gestational age babies: A prospective cohort study in rural Kenya.
UtiliZing health Information for Meaningful impact in East Africa through Data Science
Dr. Angela Koech | MBChB,
MSc, MMed (ObsGyn), PhD
Dr. Angela Koech is an
obstetrician scientist and
clinical researcher at the
Centre of Excellence in
Women and Child Health,
Aga Khan University, East
Africa.
Her research focuses on
maternal and newborn
health, with particular
interest in antenatal
ultrasound and data-driven
approaches to pregnancy
assessment. She is a
member of the Maternal,
Newborn and Child Health
(MNCH) group within the
UZIMA Data Science
(UZIMA-DS) project, and an
awardee of a UZIMA-DS
pilot grant for research on
gestational age assessment
using ultrasound-derived
tools. Her work bridges
clinical research and data
science to improve
pregnancy outcomes in low-
resource settings.
Prof Olanrewaju Lawal
Spatial Intelligence in Public Health: Local-Scale Susceptibility Mapping Using Population-based Survey in Sub-Saharan Africa
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa
Prof. O. LAWAL is an expert in Geocomputation and Integrated Geographic Analysis. He has a wealth of experience using social, economic, and environmental modelling as well as the use of AI and statistical analysis in the development of new insights from data across natural and social systems. He has led teams in the development of a regional and national social vulnerability index, vulnerability to climate change, flood vulnerability modelling, coastal community climate change vulnerability and risk assessment, risk perception modelling, disaster information management systems, etc. He has managed and consulted across some multidisciplinary teams working at the intersection of social and biophysical investigation for sustainable development and resource management. He led a team within the INFORM Africa project, developing place susceptibility indices for countries across sub-Saharan Africa and linking these with health outcomes. He is a fellow of the Royal Geographical Society and a member of the Association of Nigerian Geographers.
Prof Kennedy Otwombe
Funding Pathways and COVID-19 Pandemic Response: The role of domestic and external funding in shaping Africa's response
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa
I am the lead statistician at the Perinatal HIV Research Unit (PHRU), Faculty of Health Sciences, University of the Witwatersrand, working across several infectious and non-infectious disease studies. My roles have included conceptualization of ideas, study design, data analysis, interpretation of findings and writing grants and manuscripts. Additionally, I teach, supervise and examine postgraduate students at the School of Public Health, Division of Epidemiology and Biostatistics, University of the Witwatersrand. Among my most recent interests is in the use of data science techniques in the analysis and interpretation of medical research data as well as climate change research.
Dr Chenfeng Xiong & Dr Xin (Bruce) Wu
Human Mobility and Infectious Disease Dynamics: Stakeholder Training and Future Modeling Capacity in Africa
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa
Chenfeng Xiong is an Assistant Professor in the Department of Civil and Environmental Engineering at Villanova University. His research focuses on human mobility and transportation systems, with an emphasis on traveler behavior, mobility patterns, safety, public health, and transportation economics. His work integrates engineering, data science, and public policy to better understand and improve modern transportation systems.
Xin (Bruce) Wu is a Research Associate in the Department of Civil and Environmental Engineering at Villanova University. His research specializes in transportation modeling, optimization, and logistics systems, with applications in mobility services, supply chains, and multimodal transportation networks. He develops advanced analytical and computational methods to address complex system-level challenges in transportation and logistics.
Mr Andrew Aballa
UtiliZing health Information for Meaningful impact in East Africa through Data Science
Andrew is skilled in both quantitative and qualitative research methods, as well as related disciplines like data analysis and scientific writing. As a Research Specialist, he supports research initiatives for the UtiliZing health Information for Meaningful impact in East Africa through Data Science (UZIMA-DS) study, including programming and pretesting research tools, engaging key authorities in field sites, and handling administrative duties such as grant support.
Mr Onesmus Wanje
UtiliZing health Information for Meaningful impact in East Africa through Data Science
Onesmus Wanje is a Community Engagement Specialist at the Centre of Excellence in Women and Child Health, East Africa, Aga Khan University (Kenya). Based in Kilifi, he leads community engagement for the maternal health studies and also supports qualitative research. With over eight years of experience in community mobilization, qualitative research, implementation science and policy advocacy, Onesmus ensures ethical and inclusive research by building trust and facilitating meaningful community engagement. He holds a BSc in Community Health and is currently a Master of Public Health (MPH) candidate. His work in UZIMA DS looks at health care providers perspectives on the potential utility of AI to reduce adverse pregnancy outcomes.