Research

My research sits at the intersection of genomics, clinical data science, and global health. Over the course of my career I have worked on problems ranging from population-level genetic variation to practical machine learning for healthcare delivery in low-resource settings.

Current: Neotree

As Senior Data Scientist at UCL, I work on the Neotree project — a digital health system designed to improve neonatal outcomes in sub-Saharan Africa. Neotree captures structured clinical data at the bedside and uses that data to drive quality improvement and clinical decision support.

My work within Neotree focuses on:

  • Developing and validating machine learning models for neonatal diagnosis and triage
  • Optimising clinical decision support algorithms for deployment in low-connectivity environments
  • Assessing model performance and fairness across different hospital settings and populations
  • Building reproducible analysis pipelines for ongoing data quality monitoring

Population genetics & genomics

A significant strand of my research focuses on population genetics, molecular evolution, and the genetic diversity of human populations. This work spans molecular diagnostics, sequence analysis, and the statistical tools needed to characterise genetic variation within and between populations.

Key themes include:

  • Population structure and admixture in European and Latin American cohorts
  • Molecular evolution — selection tests (Tajima's D, McDonald-Kreitman, Ka/Ks), nucleotide diversity, codon usage bias, and site frequency spectra
  • Nutrigenomics — understanding how genetic variation shapes nutritional response, nutrient metabolism, and personalised dietary guidance
  • Development and validation of molecular diagnostic assays

One Health & environmental genomics

I am interested in the One Health framework — the recognition that human health, animal health, and environmental health are inextricably linked. Data science has a critical role to play in integrating these streams, and I am exploring opportunities to apply genomic and epidemiological methods across this wider health landscape.

Publications & profiles

For a full list of publications, citations, and research metrics, please visit my profiles:

Collaborations

I welcome enquiries about research collaborations, particularly in the areas of clinical AI, global health data, and genomic epidemiology. Please see the contact section or write to me directly.