Clinical Trials Methodology
Design and analysis of cluster randomised and crossover trials, with a focus on statistical power and real world implementation.
Design and analysis of cluster randomised and crossover trials, with a focus on statistical power and real world implementation.
Applying machine learning to routine health data to address questions in epidemiology, health services, and implementation research.
Research on PCOS, pregnancy complications, delivery related risk factors, and care for preterm and low birthweight newborns.
A PI led project developing and evaluating an accessible, low cost screening approach for PCOS, aimed at expanding diagnostic reach in low resource settings.
A Co-PI role on a nationally supported study raising awareness of PCOS to improve pregnancy outcomes, linking health systems research with maternal health.
Cluster randomised crossover trials, observational studies, case control studies, and meta analysis.
Generalised linear models, longitudinal and mixed models, survival analysis, and machine learning for prediction.
R, Stata, Python, reproducible pipelines, and modern data visualisation.
Clinical Trials · SAGE · 2026
PLOS ONE · 2026
Journal of Global Health · 2024
PLOS Global Public Health · 2024
PLOS ONE · 2023
Reproductive Health · BMC · 2023
Journal of Global Health · 2022
Tropical Medicine & International Health · Wiley · 2022
PLOS ONE · 2021
BMC Pregnancy and Childbirth · 2021
The most up to date record of my work is maintained on Google Scholar and ORCID.
Interested in collaboration in research or teaching? I would be glad to hear from you.