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6th DS-I Africa Consortium Meeting

  • Dorothy Chepkoech

    Ms Dorothy Chepkoech - Participant

    UZIMA-DS: Improving AI/ML-readiness of Synthetic Data in a Resource-Constrained Setting (Masters Student)

    Dorothy Chepkoech is a final-year Master's student at Hasselt University, pursuing a Master's in Statistics and Data Science. She specialises in applying deep learning to EEG classification. Her current research focuses on leveraging neural networks to analyse and classify EEG patterns in critical care settings, particularly in ICU and CCU environments. She holds a Bachelor's degree in Statistics and Programming from Kenyatta University and has experience in machine learning, data analysis, and data management. Her research interests focus on leveraging data science and machine learning to advance healthcare research, with a particular emphasis on brain data analysis, especially EEG, and building AI tools to support clinical decision-making and improve the diagnosis and monitoring of neurological conditions.