Expertise

Methodologically rigorous research, responsible analysis, and clear scholarly communication.

Core strengths

  • Research methodology

    Designing well-structured quantitative and computational research from initial concept development through analysis, reporting, and dissemination.

  • Academic and scientific writing

    Research proposals, literature reviews, theses and dissertations, technical reports, journal manuscripts, referencing, citation management, and presentation of results.

  • Responsible research practice

    Committed to academic integrity, clarity of scientific argument, evidence-based reasoning, reproducibility, and responsible research practice.

Technical toolkit

Python, R, MATLAB, SPSS, LaTeX, and Microsoft Office. Experience includes statistical modelling, data preprocessing, predictive analytics, time-series analysis, model evaluation, data visualisation, and reproducible scientific computing.