Our wet-lab work grounds every simulation in real biology — from vector ecology to sample processing — carried out with partner laboratories across Burundi and abroad.
The biomedical and field work that feeds data into our mathematical and computational models.
Sequence and molecular surveillance data processed with BEAST, RAxML, MEGA and Nextstrain, feeding the phylodynamic and agent-based models developed by the team.
Field epidemiology and event-based surveillance built on frontline experience with WHO's Ebola, COVID-19 and EIOS outbreak-response operations.
Analytics platforms integrating surveillance and geospatial data for Burundi's National Malaria Control Programme, and mpox data pipelines for the MODE-MPOX DRC and UKRI/MRC-funded projects.
International training programmes and workshops in modelling, scientific computing and public health analytics, delivered with WHO, Imperial College London and INRB, alongside hands-on supervision of PhD, MSc and undergraduate students.
Access to advanced laboratory resources through long-standing collaborations.
We're open to partnerships on sample collection, diagnostics and field data that strengthen our models.