What I do

Genomics & Population Genetics

Over three decades studying how genetic variation shapes health outcomes across populations — from molecular diagnostics to large-scale genomic data analysis.

Machine Learning & Clinical AI

Developing and validating machine learning models for clinical decision support, with a focus on deployability in low- and middle-income country settings.

Global & One Health

Integrating human, animal, and environmental health perspectives. Interested in the interface between data science, epidemiology, and public health at a global scale.

Teaching & Mentoring

Teaching data science, statistics, and bioinformatics to researchers and students at all levels. I enjoy translating complex methods into practical, accessible skills.

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About me

Background, career trajectory, and the interests that connect genomics, data science, and global health.

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Research

Current and past research projects, including Neotree, population genetics studies, and collaborations in Africa and Latin America.

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Teaching

Courses, workshops, and resources in data science, biostatistics, R, Python, and machine learning for life scientists.

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Software

Open-source tools, packages, and pipelines on GitHub — spanning genomic analysis, clinical modelling, and data visualisation.