Prof Alash'le Abimiku
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa
Professor Alash'le Abimiku has been pivotal to the establishment of a long-term collaboration between Institute of Human Virology Nigeria (IHVN) where she serves as the Executive Director of the International Research Centre of Excellence at the Institute of Human Virology Nigeria
Dr Chenfeng Xiong
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM Africa
Dr. Chenfeng Xiong is an Assistant Professor of Civil and Environmental Engineering at Villanova University, USA. His primary research focuses on AI- and data-driven methods, multi-sourced human mobility analytics, and large-scale urban computing and simulations.
Mrs Dorcas Mwigereri
Synthetic data generation of health and demographic surveillance systems data: a case study in a low- and middle-income country
UtiliZing health Information for Meaningful impact in East Africa through Data Science
Dorcas is a skilled and focused leader who excels in prioritizing tasks, managing multiple responsibilities simultaneously, and ensuring the successful completion of high-quality projects. My passion for modern technological advancements drives my belief that learning is a continuous journey. I am convinced that staying keen on learning, practicing, and sharing knowledge with fellow developers is essential to staying at the forefront of the development world. As an experienced researcher and a versatile Machine Learning Engineer and Computer Scientist in the health domain and geospatial space, I bring a wealth of expertise in a diverse range of programming languages and technologies, including Python, R, PHP, Java, C#, PostgreSQL, MySQL, SQL Server 2008,XML ,working with Satellite data and geospatial data analysis among others. My proficiency extends beyond coding to encompass an in-depth understanding of modern web technologies and software development methodologies
Prof Georges Nguefack-Tsague
Using synthetic data for training AI models: issues in monitoring and evaluating SDGs with applications to Cameroon trauma registry (CTR) data
Harnessing Data Science to Promote Equity in Injury and Surgery for Africa
Georges Nguefack-Tsague is Associate Professor, Biostatistics, Data Science, and Health Informatics, at the Faculty of Medicine and Biomedical Sciences at the University of Yaoundé I, Cameroon. He is chairing the Working Group "Data Mining and Big Data Analytics" at HELINA
A/Prof Ann Wanjiru Mwangi
DSSD: Building Capacity and Advancing Data Infrastructure in Kenya
NYU-Moi Data Science for Social Determinants Training Program
Ann Wanjiru Mwangi, PhD is the Associate Dean for Research and Innovation in the School of Postgraduate Studies, Research and Innovation at Moi University. She holds a PhD in Biostatistics from Brown University (USA), dual master's degrees in Biostatistics and Applied Statistics from Hasselt University (Belgium), and a Bachelor of Science degree from Jomo Kenyatta University of Agriculture and Technology (Kenya). She is an Associate Professor of Biostatistics in the Department of Mathematics, Physics, and Computing, Dr. Mwangi has over two decades of experience in biostatistical research, teaching, and mentorship. She trains and supervises undergraduate and postgraduate students across the School of Science and the College of Health Sciences. For the past 20 years, she has served as a Biostatistician with the Academic Model Providing Access to Healthcare (AMPATH) program, contributing to numerous peer-reviewed publications. She is Co-Director of the AMPATH Data and Analysis Team (ADAT) and has been instrumental in advancing data-driven decision-making in clinical care. Her research interests include Data Science, Causal Inference, and statistical methods for reducing bias in observational data, particularly in resource-limited settings where clinical trial data are scarce. Her work spans HIV & AIDS, oncology, chronic diseases, and other pressing health challenges.
A/Prof Celestin Twizere
The Synthetic Healthcare Data, for Education and Research
SYNthetic Healthcare DAta Platform for Data Science Training
Celestin Twizere is an Associate Professor of Biomedical Electronics, Electromagnetism and telecommunication at the University of Rwanda, College of science and technology and Director of the East Africa Regional Centre of Excellence in Biomedical Engineering and e-Health (CEBE), hosted by University of Rwanda. He has experience in Higher Education training and leading, conducting and publishing in telecommunications, computer science and mHealth technology for more than 22 years. In the role of CEBE Director, Twizere has gained valuable experience in the management of funding from African Development Bank and other different funding agencies including NIH for over 8 years. One of the highest priorities is to implement telemedicine technologies, Electronic Health Records (EHR), and interoperability of systems to link East African Centers of Excellence and specialized health care facilities across the region. With his telecommunication background (Ground Penetrating Radar, Wireless Communication and Networks, Electromagnetic Radiation and Propagation, and Smart Antenna for Mobile Communication), his spectrum of work is broad as he is collaborating in different projects in digital health as a main leader or co-leader. These include strengthening research capacity and expertise in digital health, digitalizing the hospital patient trajectory and secondary use of EHRs in Rwanda, e-mental healthcare architecture as
Mr Nhlamulo Khoza
Multimorbidity in Africa: Digital innovation, visualisation and application
Nhlamulo Khoza is a postgraduate student at the Sydney Brenner Institute for Molecular Bioscience (SBIMB), based at the University of the Witwatersrand in Johannesburg, South Africa. He is currently working within the Multimorbidity in Africa: Digital Innovation, Visualisation and Application (MADIVA) Research Hub, Project 2. His doctoral research focuses on developing and evaluating polygenic scores to help predict cardiometabolic diseases, particularly in the context of multimorbidity. His academic interests focus on the intersection of non-communicable diseases, public health, and data science. He is particularly interested in combining genetic and clinical data to improve understanding of health risks and outcomes. Through his work, he seeks to deepen knowledge of the health challenges faced in low- and middle-income settings. Through his involvement with MADIVA, Nhlamulo is gaining experience in applying genomic tools in public health research and working within interdisciplinary teams. He values collaboration, clarity, and the opportunity to learn from both data and the broader health context in which it exists. Outside of research, he is interested in the broader role of science in society and how evidence can inform practical solutions in healthcare.
Dr Patrick Mwangala
UtiliZing health Information for Meaningful impact in East Africa through Data Science
Dr. Patrick Mwangala is a psychiatric epidemiologist and implementation scientist with background training in Global Mental Health from the University of London, UK, and a PhD in Public Mental Health from the University of Witwatersrand, South Africa. He has extensive experience in epidemiological and interventional research spanning 10 years from the KEMRI-Wellcome Trust Research Programme (2016 to 2022) and the Aga Khan University - Institute for Human Development (2022 - present). Patrick's research interests are in understanding the mental & cognitive health of vulnerable populations, including children, adolescents, older adults, and people living with chronic conditions such as HIV/AIDS, sickle cell disease, and epilepsy in low-resource settings. He is keen on addressing the knowledge gaps on the burden and determinants of cognitive, mental, and functional outcomes in these populations and use the data to catalyze policy actions and guide the development of age-appropriate treatment models and evidence-based preventative interventions.