JF

Dr. Jamie Forrest PhD, MPH

AI & Health Informatics Researcher | Vancouver, BC, Canada

AI & Data Science for Health Equity and Trust

Building AI systems to detect and counter threats to institutional trust — informed by global health research, teaching, and mentorship

Current Focus

Trust Defense Technology — CTO

AI platform detecting and responding to AI-amplified threats against institutional trust in real-time — with applications across health systems, public health communication, and crisis response.

MedContext

Agentic AI system achieving 91.4% accuracy in detecting medical misinformation (authentic images paired with false claims). Kaggle MedGemma Impact Challenge.

I build and lead AI systems for trust defense and health informatics, informed by a research career spanning clinical trials, data science, curriculum development, and equity in AI-enabled health systems. My work focuses on deployable technology that detects, maps, and responds to AI-amplified threats against institutional trust — turning research insights into real-time operational systems.

That career began with community-driven biomedical and socio-behavioural research grounded in a commitment to equity and local agency. With foundational training in quantitative public health methods, I have consistently centered research around the lived realities of marginalized communities — ensuring that evidence meaningfully serves those it is intended to benefit. Years embedded with Rwanda's Ministry of Health, co-developing and scaling digital health information systems, deepened my understanding of the intersection of technology, data sovereignty, and sustainable innovation in resource-limited settings.

During the COVID-19 pandemic, I led global clinical research operations across 22 sites on three continents, generating actionable evidence at unprecedented speed. Those experiences sharpened my view of how the pressure for rapid results can exacerbate inequities in research capacity and governance — especially in low- and middle-income contexts — and drove me toward building adaptive systems that safeguard integrity while promoting equity.

Throughout my career, I have been deeply committed to mentorship and training — developing curricula in research methods, data science, and AI literacy for researchers and health professionals at every career stage. Today, my aim is to unite the ecosystem-level perspective gained through years of global health research with practical, deployed AI technology — helping institutions defend trust and training the next generation of leaders in health informatics.

Areas of Expertise

AI in Healthcare
Health Informatics
Misinformation Detection
Digital Innovation
Global Health
Clinical Research Operations
Curriculum Development
Teaching & Mentorship
Capacity Building
Cross-Continental Partnerships
Health Equity
Data Science for Health
Research Methods