At the Stratified Research Institute, our research operates at the convergence of clinical medicine, computational biology, generative AI, and health policy. We leverage advanced analytics and data-driven innovation to address systemic health challenges and foster precision health across Low- and Middle-Income Countries.
Focuses on multi-omics data integration (genomics, transcriptomics, epigenomics) to unravel disease mechanisms, identify population-specific biomarkers, and advance targeted pediatric and adult therapies in resource-limited settings.
Explores the application of large biomedical language models (LLMs), generative AI architectures, and predictive machine learning to accelerate evidence synthesis, automate clinical data workflows, and simulate disease progression and health intervention outcomes in LMICs.
Researches the optimization of national health management information systems (DHIS2, KoboToolbox), strengthening data pipelines, and establishing robust governance frameworks for secure, ethical, and scalable health data utilization across Sub-Saharan Africa.
Evaluates national health strategies, develops robust Monitoring, Evaluation, Accountability, and Learning (MEAL) frameworks, and provides evidence-based policy justifications to build resilient health systems and improve equitable access to care.