Research

Interdisciplinary quantitative and computational research for evidence-based decisions.

Current research role

Researcher, African Foundation for Cognitive and Frontier Technologies (AFCFT)
Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Kenya · 2024–2026

Conducting interdisciplinary research in artificial intelligence, machine learning, statistical modelling, deep learning, and time-series forecasting, with applications in energy systems and public health.

Research capabilities

  • Quantitative research design

    Research problem formulation, literature review, development of research objectives and questions, methodological design, data collection, and data management.

  • Statistical and computational analysis

    Statistical modelling, data preprocessing, predictive analytics, time-series analysis, model evaluation, data visualisation, and reproducible scientific computing.

  • Academic dissemination

    Academic reporting, manuscript preparation, scientific writing, citation management, technical reports, and clear communication of research findings.