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

Earlier in my career I focused on the genetics of complex traits and the genomic diversity of human populations. This work spanned molecular diagnostics, genome-wide association studies, and the statistical methodology needed to make sense of high-dimensional genetic data.

Key themes included:

  • Population structure and admixture in European and Latin American cohorts
  • Genetic epidemiology of complex diseases
  • Development of molecular diagnostic assays and their validation

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.