CHILLI member
Augustus Osborne
Research Fellow
Institute for Development (IfD)
About
Augustus Osborne is a public and global health researcher with expertise in health systems, maternal and child health, health equity, and data-driven healthcare research. His work focuses on addressing healthcare challenges in resource-constrained settings through evidence-based research, digital health, and emerging AI approaches. At CHILLI, he contributes to advancing equitable, innovative, and evidence-informed healthcare solutions.
Profile
Augustus Osborne is a public health and global health researcher whose work focuses on health systems strengthening, maternal and child health, health equity, digital health, and the application of data-driven approaches to healthcare challenges, particularly across sub-Saharan Africa.
His research portfolio spans maternal healthcare access, adolescent and reproductive health, infectious diseases, sanitation, digital health inequalities, and healthcare delivery in resource-constrained settings. He has also contributed to emerging applications of machine learning and explainable AI in public health, including research on equitable antenatal care prediction and health policy decision-making in Ghana and Nigeria.
Augustus is a Research Fellow affiliated with the Institute for Development (IfD), Sierra Leone, and has developed an extensive record of peer-reviewed scholarship addressing practical health challenges affecting underserved populations. His work places particular emphasis on translating evidence into equitable health policies, stronger health systems, and improved population health outcomes.
At CHILLI, Augustus contributes expertise in global health research, health systems, health equity, and evidence-informed healthcare innovation, supporting the Consortium’s mission to develop research and solutions capable of delivering meaningful impact across diverse healthcare settings.
Areas of expertise
Research interests
Global Health, Health Systems Strengthening, Maternal and Child Health, Health Equity, Digital Health, Artificial Intelligence in Healthcare, Predictive Analytics, and Evidence-Based Public Health.
Research leadership
Lead research areas
Research area
Responsible AI in Healthcare
Exploring how artificial intelligence can be designed, evaluated, and implemented responsibly to support safer, fairer, and more transparent healthcare decision-making.
Explore research area →Connected work
Projects
Responsible AI Readiness for Clinical Decision Support
This project will examine how healthcare organisations can assess their readiness to introduce responsible AI-supported clinical decision tools. It will consider governance, data quality, clinical safety, transparency,…
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Predictive Analytics for Earlier Identification of Healthcare Risk
This project will explore how routinely collected healthcare data can be used to identify patient or service-level risks earlier. The work will focus on responsible predictive modelling,…
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Building a Learning Health System Framework
This project will investigate how healthcare organisations can learn continuously from clinical data, research evidence, service experience and patient outcomes. It will develop a practical framework for…
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