Miguel Rodo

Doctoral student in statistics, nearing hand-in. Worked on high-dimensional immunological analysis, R software development and analyses of clinical trial data.

I am a statistician and current PhD candidate at the University of Cape Town, specialising in biostatistics and high-dimensional data analysis. I have lectured both undergraduate and postgraduate courses in linear regression, multivariate statistics, unsupervised learning and statistical computing, and developed an R package to streamline reproducible research workflows. My tuberculosis immunology work has led to publications in leading journals, and I have designed novel empirical-Bayes clustering algorithms to identify rare cell subsets in noisy datasets.

I hold a Bachelor of Commerce in Actuarial Science with Honours in Statistics (class medallist) and an MSc in Biostatistics with distinction in the thesis, both from the University of Cape Town. My doctoral research—“Systems immunology of successful and failed control of Mycobacterium tuberculosis infection”—is due for submission in September 2025. I have been awarded multiple scholarships (SATVI, SASA-NRF) and prizes recognising my academic excellence and research contributions.