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Teaching

Courses, mentoring, and open teaching material.

I teach climate data science with an emphasis on reproducibility, physical intuition, and practical geospatial workflows. All teaching notebooks are open-source.

  • Teaching Assistant

    McGill University · Aug 2023 – May 2024

    ATOC 182 — Introduction to Oceanic Sciences & ATOC 184 — Science of Storms

    Led math-intensive preparatory sessions, held office hours, graded coursework, and introduced AI-supported tools for critical reading and paper summaries.

  • Teaching & Research Assistant

    Department of Physics, KNUST · Oct 2021 – Sep 2022

    Climate Change: Science, Policy & Management; Scientific Computing (Python/Fortran); Experimental Physics; Biometeorology and Human Health

    Supported lecturers with research and laboratory instruction, graded exams, and delivered workshops on Python, Linux, and Fortran for meteorology and climate science.

  • Workshop Instructor

    KNUST · 2021 – 2022

    Python for data analysis and visualisation

    Tutored undergraduate students in Python with a focus on scientific data analysis, visualisation, and reproducible workflows for climate data.

  • Intern

    Ghana Meteorological Agency (GMet), Accra · Jun 2019 – Jul 2019

    Weather analysis and forecasting

    Recorded and analysed rainfall and wind observations, produced trend analyses from weekly to decadal scales, and contributed to public forecasts using ArcGIS, R, radar/satellite data, and NWP models.