Dr. Yahaya Hills Kagali Sekagya
MD, PhD with over 45 years in traditional healing. Director of PROMETRA Uganda, researcher in African spirituality and traditional medicine, and advocate for integrating traditional healthcare systems.
Intelligent Infrastructures for Africa's Living Heritage
We build AI and data systems that treat African cultures, ecologies, and landscapes as living knowledge infrastructures β not as raw material to be extracted.
Decolonizing AI for tourism, cultural heritage, and biocultural conservation
Modeling birds, fish, insects, and medicinal plants as linked, biocultural entities connecting ecology, history, spirituality, and health.
AI-powered experiences foregrounding African epistemologies through biocultural trails and acoustic heritage walks.
ML-based recognition systems for avian, aquatic, and insect species with cultural narrative layers.
Ethical pathways combining certified clinical services with indigenous healing knowledge.
Models recognizing bird calls, environmental soundscapes, and ritual sound patterns.
Data sovereignty with community consent and benefit-sharing built into system design.
A multidisciplinary collective building cultural & biocultural intelligence.
MD, PhD with over 45 years in traditional healing. Director of PROMETRA Uganda, researcher in African spirituality and traditional medicine, and advocate for integrating traditional healthcare systems.
Technology professional specializing in web design, SEO, and back-end development. Currently building digital solutions at Dipo Technologies to streamline everyday operations and workflows.
Machine Learning and Intelligent Systems Engineer specializing in autonomous systems, responsible software, and AI research across quantum computing, digital health, and bioacoustics at Makerere University.
Leading multidisciplinary research on AI and humanities, focusing on phonation-aware feature extraction for music therapy and culturally contextualized AI systems for African voice expression analysis.
Research scientist advancing applied AI and machine learning for real-world impact, specializing in computer vision, intelligent transportation systems, and AI-driven solutions for low-resource environments.
PhD in Computer Science and Engineering with research interests in agile requirements engineering, responsible software engineering, and AI engineering across various industrial sectors.
Research Fellow with expertise in software and systems engineering, medical informatics, and decision support systems, with extensive experience in both academic research and software development.
Specializing in intelligent distributed systems engineering and AI governance, focusing on algorithmic fairness, transparency, and compliance frameworks for distributed AI decision-making systems.
Head of Forestry, Biodiversity, and Tourism department with expertise in plant ecology, conservation biology, climate change, and sustainable land management in African ecosystems.
Computer Science student and co-founder of TicketYo, specializing in machine learning, cybersecurity, and cloud engineering with multiple industry certifications.
MSc Computer Science graduate specializing in scalable cloud-native AI systems, MLOps, and deploying production-grade machine learning pipelines with Docker & Kubernetes.
Software Engineering student who developed an explainable bird species identification system using multimedia AI for researchers and public education.
Software Engineering student at Makerere University focused on human-centered technology solutions. Passionate about transforming theory into practical applications through collaborative innovation.
Experienced software engineer specializing in scalable digital solutions across fintech, healthcare, and AI-driven platforms. Focuses on high-quality, secure software architecture that delivers measurable real-world impact.
Computer Science graduate specializing in artificial intelligence and machine learning, with expertise in computer vision, explainable AI, and applied ML for health and biological research domains.
Join us in creating AI systems built in Africa, with African communities, and governed under African data sovereignty principles.
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