About
Ernest Onuiri, PhD
I build the systems, curricula and global pathways that connect African talent to real problems.
Ernest Onuiri is an Associate Professor of Biomedical Informatics and Machine Learning at Babcock University, Nigeria, where he has taught and researched since 2011. He holds a PhD in Biomedical Informatics from Rutgers, The State University of New Jersey. His doctoral work used clinical and genetic biomarkers to predict radiotherapy response in triple-negative breast cancer.
He founded and leads the Biomedical Intelligence Systems Lab, a cloud-native research group working across biomedical informatics, intelligent systems, secure computing and software innovation. He also serves in Babcock's academic planning leadership, designs curricula to national and international standards, and leads GICIP, which takes students to institutions and companies in Europe, the Middle East and the United States.
Career
Fifteen years, one institution, many systems.
- Associate Professor of Biomedical Informatics and Machine Learning
- 2021Senior Lecturer and Coordinator, Computer Science Postgraduate Programme
- 2020PhD, Biomedical Informatics, Rutgers, The State University of New Jersey
- 2017Lecturer I, Department of Computer Science
- 2013MSc, Computer Science (Information Systems), Babcock University · Assistant Lecturer
- 2011Graduate Research and Teaching Assistant, Babcock University
- 2007BSc, Computer Science (Technology), Babcock University
Further training
Still a student of the field.
- 2026Python Discovery Piscine42 Berlin
- 2021Scientific writing and systematic reviewsASFI
- 2020Data Science and Business AnalyticsUT Austin McCombs
- 2020Software Product ManagementUniversity of Alberta
- 2013Health Information SystemsHealth Level Seven (HL7)
For programmes and media
Bios, ready to use.
Ernest Onuiri, PhD, is an Associate Professor of Biomedical Informatics and Machine Learning at Babcock University, Nigeria, and founder of the Biomedical Intelligence Systems Lab. He holds a PhD in Biomedical Informatics from Rutgers University. His work connects health data, intelligent systems and curriculum design to real-world problems.