Technology, AI & Health Equity — From Evidence to Action, Globally
Integrating technology, AI, and data science to advance health equity and turn global evidence into action across health systems and crises.
Current Projects
From research leadership and health systems to AI ventures and digital tools — spanning surveillance, clinical trials, and capacity building.
Health Equity & Resilience Observatory | Scientific Director
Trust Defense as a Service (TDaaS)
Founder & Principal Scientist
Agentic AI for Medical Misinformation
Past Projects
Previous leadership roles in global health research, clinical trials, and health systems strengthening.
Global Adaptive Platform Clinical Trial
Director of Global Health Strategy
Research Capacity Building Initiative
Data Science Advisor, Ministry of Health
Research Mission
My research spans several interdisciplinary projects that examine how digital technologies are designed, adapted, and governed, to improve health outcomes and promote health equity. Leveraging strengths in global health partnerships for interdisciplinary inquiry, I investigate interconnected challenges and solutions where digital innovation is both the contagion and the cure.
Research & Experience
Applied data scientist and global health researcher building AI systems to address health misinformation and advance digital equity.
Current Focus
Scientific Director at UBC's Health Equity & Resilience Observatory (HERO), integrating crisis informatics and data science to create next-generation intelligence for resilience. HERO innovations seed Counterforce AI:
- →MedContext: Counterforce's first deployed product—91.4% accuracy in medical misinformation detection
- →Counterforce AI: Trust Defense as a Service (TDaaS) platform for real-time threat detection and response
Previous Experience
Chief Partnerships Officer, Purpose Life Sciences
Executive Director of the TOGETHER Adaptive Platform Trial Consortium
Managing Director, MTEK Sciences East Africa
Advisor to Ministry of Health of Rwanda, Data Science for Decision-making
Research & Strategy Lead, Purpose Africa
Developing pan-African clinical research capacity
Scientific Director
African AI Innovation Ecosystem Research Network
Mind the Gap
AI, Digital Health, and Who Gets Left Behind
In this rapidly evolving digital age, Artificial Intelligence (AI) is transforming every facet of our lives, and healthcare is no exception. As an academic investigating the public health side of AI in its many forms, I'm asking the critical question: Who benefits from this revolution, and who might be left behind?
Mind the Gap is a space to explore the fascinating, often complex, and sometimes unsettling intersection of AI and health, always with a sharp focus on equity. It discusses how these powerful technologies can either bridge or widen existing disparities, examining the challenges of algorithmic bias, the growing digital divide, equitable access, and data privacy and sovereignty.
Latest Posts
As deepfake technology makes it impossible to trust what we see and hear, the implications extend far beyond fraud into mental health, emergency respo...
Sixty-six years after Ledley and Lusted computerized medical diagnosis, physicians are still hesitant to embrace decision support tools. But this time...
Five years after documenting the rise and fall of hydroxychloroquine, I'm seeing the same dangerous patterns in how AI health innovations spread—and w...
Publications & Research Highlights
A comprehensive collection of my co-authored and published scientific papers and contributions to the field, presented in a digital art gallery format. Click on any paper to read more.
DEI Proposal Writing Assistant
The Diversity Equity and Inclusion (DEI) section of a grant application can be one of the hardest to write. For many quantitative researchers, it often feels forced or disconnected from the rest of the proposal. Still, reviewers increasingly expect thoughtful, evidence-based attention to DEI—and for good reason.
This tool, adapted from a public resource at Maastricht University, is designed to help you think through the most relevant DEI considerations for your project. Paired with AI support, it can guide you toward a compelling and well-structured response that highlights your project's potential impact.
Important Note
AI can help generate ideas, organize your thinking, and strengthen your writing. But the final product should always reflect your own perspective and professional judgment. Reviewing the output, editing for accuracy, and crafting the response in your own words is essential for both integrity and effectiveness.
The Maastricht University resource can be found at: How to Address Diversity in Research Proposals: A Guide
Citation Network Visualization
Explore your research network through interactive visualizations that reveal connections between your publications, citation patterns, and thematic clusters. This tool helps you understand the landscape of your research impact and identify connections you might not have noticed.
The visualization uses advanced machine learning techniques to map your publications based on semantic similarity, creating a network that reflects how your research areas interconnect.
The backend leverages sophisticated ML algorithms including semantic embeddings, dimensionality reduction, and clustering to create meaningful representations of your research portfolio.
