Skip to main content

6th DS-I Africa Consortium Meeting

  • Anita Ogero

    Ms Anita Ogero - Participant

    UtiliZing health Information for Meaningful impact in East Africa through Data Science (Masters Student)

    Ms Kerubo is a Statistics and Data Science student with a strong interest in applying data-driven methods to real-world social and scientific challenges. Her work sits at the intersection of machine learning, public health, neuroscience, and human development, with a particular focus on building predictive and screening models that are reliable, interpretable, and useful in low-resource settings. Her contributions to research at the Aga Khan University Institute for Human Development include supporting projects on child cognitive performance, neuroscience data, and interdisciplinary collaboration. Current academic work explores harmonisation and predictive modelling of cognitive performance among children aged 6-11 years in Kilifi, Kenya, using statistical learning methods, including penalised regression, random forests, validation frameworks, and local norm development. Beyond research, Ms Kerubo is interested in using data science for social good, especially where technical work can support better decision-making in health, education, and development. She is also engaged in the African machine learning ecosystem through communities such as Deep Learning Indaba and has experience communicating technical results to diverse audiences, including fellow researchers and non-technical stakeholders.