Miguel Rodo is a Lecturer in Statistics at the University of Cape Town with eight years’ experience teaching and supervising across undergraduate and postgraduate programmes, and a PhD (in progress) focused on high-dimensional immunological data analysis. He designs rigorous curricula and assessments in statistical computing, multivariate analysis and unsupervised learning, and co-supervises honours and master’s projects applying statistics to biomedical research. His doctoral work—collaborating closely with the South African Tuberculosis Vaccine Initiative—includes a novel clustering algorithm for rare-cell detection and an accompanying R package to foster reproducible pipelines. Miguel combines applied biostatistics expertise with a commitment to clear scientific communication and reproducible workflows, helping translate complex methods into practical tools for public health.
8 years of coding experience
Treverton College
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Cape Town
Contributions:18 PRs, 125 pushes, 2 branches in 1 year 4 months
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