Built by researchers, designers, and practitioners who understand both the depth of what Africa stands to lose and the precision required to prevent it.
John is a machine learning researcher whose work sits at the intersection of low-resource NLP and African linguistic systems. He has spent years studying why existing language models fail African users — and building the data infrastructure to fix it. AFRICORPUS is the institutional expression of that research. John leads the organisation's overall direction and research strategy.
Chris is an AI researcher and computational linguist with deep expertise in speech recognition, tonal language modelling, and cultural knowledge representation. A foundational conviction drives his work: a model cannot serve a culture it does not understand, so understanding must come first. Chris leads the technical architecture of all AFRICORPUS AI systems.
Builds and trains the core language models and classification systems at the heart of the AFRICORPUS platform.
Leads design of the AFRICORPUS platform — ensuring every interface serves both technical researchers and community users with equal clarity.
Shapes the visual identity and communication design of AFRICORPUS — ensuring the brand honours the cultures it serves.
Leads on-the-ground partnerships with communities, managing consent frameworks, elder engagement, and field documentation programmes.
Manages dataset strategy, institutional data agreements, and the partnerships that give AFRICORPUS access to collections and communities at scale.
The work speaks for itself. If you are a researcher, an institution, a community custodian, or someone who simply believes Africa's story deserves to be told in full — we would like to hear from you.