Meet our Team

Kayode Adetunji is a postdoctoral fellow working within the Project 2 team in the MADIVA hub. He holds a Ph.D. degree with the School of Electrical and Information Engineering, University of the Witwatersrand. His current research interests include optimization algorithms, decision theory and preference aggregation, and multi-objective optimization of smart grid systems.

Tanya Akumu is a  Research Engineer at IBM Research Africa with the A.I. Sciences team.  She received her Masters in Electrical and Computer Engineering with a specialization in applied Machine Learning from Carnegie Mellon University.  Throughout her career, Tanya has led several projects including data analysis for remote monitoring and predictive maintenance and implementation of machine learning systems for energy, health and finance systems. Currently, her work as an AI research engineer focuses on developing trustworthy and robust machine learning systems.

Diana Awour is projects coordinator for TCDPC Core within the MADIVA Hub, and is based at APHRC. Her focus is supporting and managing the events and training that originate from the TCDPC Core such as the mentorship programme, team events and skills development workshops. She holds a diploma in Project Management from Kenya Institute of Management and Bachelors in International Business Management from KCA University.

Palwende Boua is a Research Associate at the Clinical Research Unit of Nanoro (CRUN), IRSS-DRCO, Burkina Faso. He is PI on a MADIVA Seed Pilot Project titled ‘Machine Learning to predict causes of mortality in Low-and-Middle-Income Countries’. His research interest is genetic association studies (GWAS, candidate gene) of cardiometabolic diseases in African population and Nutrition-related disorders. ation and Nutrition-related disorders.

Joan Byamugisha is a Research Scientist at IBM Research Africa in Johannesburg, South Africa. She has a Ph.D in Computer Science from the University of Cape Town, South Africa (2019); a Master of Science in Software Engineering from De Montfort University, UK (2012); and a Bachelor of Science from Uganda Martyrs University, Uganda (2008). Her research work focuses mainly on computational linguistics in the areas of biomedical text processing, Bantu language generation and processing, and developing new language formalisms to account for, capture, and compute for the full complexity of human communication. Joan is involved in Project 1 within MADIVA, with a focus on Verbal Autopsies.

Jacques du Toit is based at the MRC/Wits-Agincourt Unit in Bushbuckridge. A clinician with experience working in the rural Eastern Cape, he joined the Unit in January 2020 as an early career researcher. Having completed an MSc Immunology of Infectious Diseases, his main research interests involve developments in the fields of infectious diseases and immunology that can be applied to the rural setting to improve patient outcomes. Jacques is a co-investigator in MADIVA and will be involved in Project 1.

Kerry Glover is a project manager and communications specialist. She has been working at Wits University as a project manager for various departments for two years now, since completing her Masters in Art History (Wits). She is the Project Manager on MADIVA and helps support and manage the project as a whole across the sub-projects and sites. She comes from a background in television and communications, having worked in both corporate and agency environments.

Xavier Gómes-Olivé Casas is an Associate Professor and Research Manager in the MRC/Wits Agincourt Research Unit at the School of Public Health, University of the Witwatersrand in South Africa. His areas of interest are chronic diseases (including communicable (HIV) and non-communicable diseases). Areas of study that he is  leading include amongst others the study of multimorbidity in older populations and the integration of chronic care in the primary health care system including the development and strengthening of information systems. Xavier will be Project Lead on Project 1 within MADIVA.

Karen Hofman is Research Professor and Director of the SA MRC Centre for Health Economics and Decision Science: PRICELESS at the Wits School Of Public Health where she leads policy research to evaluate interventions that provide the biggest return on investment. A Wits graduate and qualified paediatrician and geneticist, she was on faculty at Johns Hopkins and served as Policy Director at the NIH Fogarty Center. She has been a member  of ministerial committees and is a widely published. Karen will lead MADIVA work to evaluate successful interventions through an economic lens.

Celeste Holden is an Researcher at Priceless SA and is part of the economic costing work being done in MADIVA in Project 1. She recently finished her MPH in Health Economics through the University of Witwatersrand. Prior to this, she obtained an honours degree in Physiotherapy from the University of Cape Town and was practicing as a physiotherapist in both the public and private sectors. Her interest lies in healthcare equity and measuring health outcomes through standardised measures.

Collins Iwuji is a Professor of Global Health and HIV Medicine at the Department of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex and an Honorary Consultant Physician in HIV Medicine at University Hospitals Sussex, UK. He holds a faculty position in Population Science and the Principal Investigator of the Health and Demographic Surveillance System (HDSS) at the Africa Health Research Institute, KwaZulu-Natal, South Africa where he leads the Climate and Health Research Group. He is PI on a MADIVA Seed Pilot Project titled ‘Weather and cause specific mortality in Kenya and South Africa’.

Cho Kabudula is leading the MADIVA Data Management and Analysis Core (DMAC). He is a Population Health Data Scientist with strong computing  and analytic skills and expertise in record linkage of health and population data  from disparate sources, developing, managing, and  maintaining complex temporal population and health research  databases, developing software tools to support field  research activities and analysing health and population data. His research focuses on the application of  statistical and computational methods for analysis of  population health outcomes and their social determinants.

Kathleen Kahn is Principal Scientist at the MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt). She is a Personal Professor in the School of Public Health, University of the Witwatersrand and leads the Interdisciplinary PhD programme in Public and Population Health. She partners with communities, public-sector departments, and collaborating investigators to undertake excellent, ethical, and community-sensitive research and elevates rural priorities to policy and decision-makers. Since inception of the Agincourt health and socio-demographic surveillance system in 1992, she has led work on mortality and cause of death measurement, using verbal autopsy to track transitions over a period of dramatic socio-political change and the HIV/AIDS epidemic. 

Michelle Kamp is a PhD student based at the SBIMB and the Division of Human Genetics at Wits. Her research aims to develop and critically assess the value of Polygenic risk scores for cardiometabolic traits in African populations. She holds a MSc (Med) in Human Genetics (2013), PgDip in Management (2016), both from Wits University, and a Certificate in Global Public Health from King College London (2021). Michelle is involved in Project 2 and support population stratification and risk prediction objectives.

Faith Kimongo is a seasoned software developer with a proven track record of working across various industries. Currently serving as a Research Software Engineer at Project 1, her primary focus lies in dashboard design. She holds a BSc in Actuarial Science from Mount Kenya University and an MSc in Mathematical Science from the African Institute for Mathematical Sciences, Senegal. Faith’s expertise spans problem-solving, efficient coding, rigorous testing, collaboration, continuous learning, user experience optimization, performance enhancement, and security implementation. Her goal is to enhance people’s lives by developing tools that streamline their daily activities.

Isaac Kisiangani works at African Population and Health Research Center (APHRC)  in the health and system for health unit. Isaac has a Masters of Science degree in Public Health as well as a Bachelor of Science degree in Medical Laboratory Science. He previously worked as Assistant Research Officer at the Centre for Clinical Research (CCR) in KEMRI. His main areas of interest are in non-communicable diseases and healthcare systems. He is currently working on the H3A AWI-Gen project Kenya site. Isaac is co-PI of MADIVA and will be involved in Project 2, at the Kenya site.

Dr. Catherine Kyobutungi is the Executive Director of APHRC. She was formerly the Center’s Director of Research and has served APHRC in several leadership roles over the past 15 years, having joined as a post-doctoral fellow in 2006. She holds a Ph.D. in Epidemiology and a Master of Science in Community Health and Health Management from the University of Heidelberg. Prior to her graduate studies, Catherine studied medicine at Makerere University, Kampala, after which she worked as a medical officer in Western Uganda for three years. She is a Co-PI on the project.

Stephen Levitt holds a PhD degree in electrical engineering from the School of Electrical and Information Engineering at University of the Witwatersrand,  Johannesburg, South Africa. He is employed as a senior lecturer within the School and is an active researcher within the fields of software engineering and software engineering education. He is involved with Madiva Project 1 in developing dashboards to assist healthcare professionals and administrators in  understanding and managing patients.

Eric Maimela is a Director for DIMAMO Population Health Research Centre (PHRC) which is a Health and Demographic Surveillance Systems (HDSSs) established in 1996. He is co-PI on one of the MADIVA Seed Pilot Projects, titled ‘Multimodbidity and mortality: a data science persepctive for DIMAMO Population Health Research Centre (PHRC) in Limpopo Province of South Africa’

Daniel works at APHRC as a data systems developer with over a decade of experience in IT doing different data related roles. He’s been engaged in data systems development and data management. He is an active machine learning researcher also building his capacity in data visualization. He has a MSc in Distributed Computing Systems from the University of Nairobi and a BSc degree in Computer Science from Egerton University. Daniel is passionate about data science and plans to pursue a PhD is Machine Learning and/or Artificial Intelligence. He does data management, analysis and data visualization for MADIVA.

Linda Maoyi is an experienced data analytics professional with a demonstrated history of working in various industries solving a wide range of data extraction, manipulation, analysis and reporting problems. His research interests are in studying the interactions between climate and health. His role at SAPRIN consists of developing and maintaining the SAPRIN cloud infrastructure, data repository, production of longitudinal harmonised datasets and oversee the adoption of common data quality assurance measures and methods. He is part of the DMAC.

I am a coordinator for the MADIVA seed pilot study that is conducted in DIMAMO Population Health Research Centre in the University of Limpopo. I hold an honors degree in Medical Sciences from the University of Limpopo, a project management certificate from the University of Cape Town and I’m currently pursuing an MSc Degree with the University of South Africa. I have close to six years working in research environment. Started as a research assistant and grew from that to coordinating project such as the African Wits INDEPTH partnership for genomic research amongst others. In addition to my role in MADIVA I am also a researcher for the DIMAMO PHRC.

Theophilous Mathema is a Data Scientist at Wits University based at the SBIMB. She has an MSc in Data Science and is interested in developing and implementing algorithms to extract meaningful insights from vast healthcare datasets, particularly in harnessing the power of NLP and Generative AI to enhance understanding and decision-making in the field. On the MADIVA project, she works in both the DMAC and Project 2 teams.

Phelelani Mpangase is a Bioinformaticist at the University of the Witwatersrand with the Sydney Brenner Institute for Molecular Bioscience (SBIMB) and Biomedical Informatics & Translational Science (WitsBITS). Phelelani’s main research interests lie primarily in the analysis and interpretation of multi-omics (genome, proteome, transcriptome, microbiome and exome) data, drug target discovery, data mining/integration and workflow development. His passion lies in programming and designing resources that help biologists analyze their biological data. Phelelani is involved in Project 2 within MADIVA.

Daniel is an experienced and detail-oriented data scientist with several years of experience across several industries. He is highly skilled in machine learning, data visualization, and creative thinking with strong background in computer programming languages (C/C++, Java/C#,Python). He has a special interest in developing predictive models for driving the discovery of knowledge from massive compute over large datasets and High performance computing (HPC) solutions/systems & Network solutions. Daniel is based at Agincourt, Mpumalanga.

Tabitha Osler is the Publications Manager at MADIVA, where she works to streamline the administrative processes facilitating the dissemination of the project’s research findings.  Tabitha has a MSc(Med) degree in genetic counselling and worked for 15 years as a genetic counsellor and lecturer at the National Health Laboratory Service and Wits University in Johannesburg. Tabitha is currently studying towards a PhD in hereditary breast cancer at the Sydney Brenner Institute for Molecular Bioscience at Wits University.

Prof Michèle Ramsay is Director of the SBIMB; South African Research Chair in Genomics and Bioinformatics of African Populations and Professor in the Division of Human Genetics, University of the Witwatersrand, Johannesburg. Her research interests include African population genetic and epigenetic diversity and their role in diseases exacerbated by adverse lifestyle choices, including obesity and cardiometabolic diseases. Ramsay has supervised and mentored young scientists at Wits and across Africa and continues to promote capacity development for genetic and genomic research and genetic services in African settings. Michèle is Project Lead on Project 2 and also serves as Co-PI on MADIVA.

Helen Robertson is based at the School of Computer Science and Applied Mathematics at the University of the Witwatersrand. She trained in philosophy in Johannesburg and in London, and currently teaches the applied ethics of data science. She has research interests in contemporary epistemology and the epistemology and ethics of artificial intelligence. Within the MADIVA project, Helen will be assisting with the development of hub policies for the legal and ethical handling of data.DIVA.

Skyler Speakman is a research scientist and manager at IBM Research Africa in Nairobi, Kenya.  Skyler’s research areas are in anomalous pattern detection applied to Trustworthy AI and have applications in bias, fairness, robustness, uncertainty quantification and causality.    Skyler and team will be bringing anomalous pattern detection techniques to Project 2 with the goal of efficiently identifying sub-populations that are experiencing higher-than-expected mortality events.  Skyler received his Ph.D. from Carnegie Mellon University in 2014. Skyler is a Co-Investigator on MADIVA member of Project 2.

Evelyn Thsehla

Stephen Tollman is director of the MRC/Wits Rural Public Health and Health Transitions Research Unit and research professor in the School of Public Health. Steve is a Co-PI on MADIVA, ensuring that Agincourt contributions to projects and cores are effective, and that MADIVA overall fulfils its goals.