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6th DS-I Africa Consortium Meeting

  • Plenary Session: How Do We Know AI Works? Evaluating AI in African Contexts

    Facilitator(s)

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    Ms Miranda Barasa

    African Population and Health Research Center

    Miranda Barasa is a Program Manager in the Data Science Program at the African Population and Health Research Center, where she leads multi-country initiatives at the intersection of data science, artificial intelligence (AI), and public health in Africa. She manages both the Data Science Without Borders (DSWB) project and the Evidence for AI in Health (EVAH) initiative

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    Dr Steve Cygu

    African Population and Health Research Center

    Steve is an Associate Research Scientist at the African Population and Health Research Center and Machine learning Engineer with strong mathematical, statistical, and computational skills. He has over five years of experience in research and has previously worked at the intersection of computational approaches and public health. He is greatly involved in the R open-source community and passionate about developing R packages. He has vast experience in data processing, analysis, mining, predictive modeling, machine learning, algorithm implementation, and platform development. Prior to joining APHRC, he worked with Dalberg Research and Infotrak Consulting, both as a data processing manager and at the South African Center for Mathematical Modelling as a researcher. Steve holds a PhD in Computational Science and Engineering from McMaster University (Canada), a double MSc in Mathematical Sciences from Stellenbosch University and University of Cape Town (South Africa), and a BSc in Applied Statistics with Computing from Maasai Mara University (Kenya).

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    Dr Samuel Iddi

    African Population and Health Research Center

    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.

    Rapporteur(s)

    Emily Muller

    African Population and Health Research Center

    African Population and Health Research Center