Koblo Usani is an AI & Health Data Scientist, researcher, and digital health innovator specialising in AI/ML, advanced analytics, and responsible healthcare innovation. As AI & Health Data Science Lead at CHILLI, he contributes to data-driven research and the development of scalable digital health solutions. His work bridges AI, healthcare, and social impact to improve decision-making, health equity, and population outcomes.

Koblo Usani is an AI and Health Data Science professional, researcher, and digital health innovator working at the intersection of artificial intelligence, healthcare, public health, and technology-driven social impact. His work explores how AI, machine learning, advanced analytics, and digital technologies can improve health decision-making, strengthen health systems, reduce inequalities, and enable more accessible and personalised support.

As AI & Health Data Science Lead at CHILLI, Koblo contributes to AI/ML research, methodological development, predictive modelling, health data analytics, and the translation of research into practical digital health solutions.

His innovation portfolio includes FutureBuddy™, an AI-powered platform designed to provide young people with personalised wellbeing, learning, and career support, incorporating responsible AI and safety-focused escalation pathways. He has also developed data-driven healthcare applications, including AI-enabled disease risk prediction and clinical decision-support prototypes, alongside digital systems for improving healthcare data capture, monitoring, reporting, and operational intelligence.

His work is driven by the intersection of research, technology, healthcare, and social impact, with a particular interest in developing responsible, scalable, and equitable solutions that can create value across diverse healthcare settings.