Institutional representation and health equity
How indicators, administrative categories, evidence frameworks and institutional narratives make some people, places and needs visible while obscuring others, with consequences for health equity.
Health systems • Equity • Accountable innovation
I study how health systems and public institutions assess evidence and represent people through indicators, administrative categories and algorithms; how those judgments and representations shape consequential decisions; and how those decisions become embodied as health inequities.
Profile
My doctoral dissertation gave me a foundation in governance, equity and complex systems. My postdoctoral engagements have extended those concerns into health-system decision processes and patient pathways.
I am building a coherent research program that examines the policy and governance decisions shaping whether evidence is acted on, how it is adapted and whether resulting changes improve outcomes equitably. My work combines epidemiological analysis with policy, document and mixed-methods research.
Research
How indicators, administrative categories, evidence frameworks and institutional narratives make some people, places and needs visible while obscuring others, with consequences for health equity.
How health systems, public agencies and cross-sector institutions interpret evidence, allocate authority, negotiate competing priorities and remain accountable for decisions that shape population health.
How algorithmic systems, data-driven tools and health innovations can be evaluated and governed so that human judgment, equity, safety and accountability remain meaningful.
Current projects and initiatives
As Scientific Director of EAI, I lead applied research and practical work on how institutions can interpret evidence, exercise judgment, allocate authority and remain accountable for consequential decisions.
Threshfield is an early-stage health-intelligence and AI-assurance initiative focused on identifying representation, equity and accountability risks in health decision tools and patient pathways.
I am developing research on how AI systems construct representations of people, how those representations can fail, and how health institutions can evaluate and govern the resulting risks.
Doctoral dissertation · Governance, representation and health equity
My doctoral dissertation examines how cross-sectoral governance of land, water and energy shapes the distribution of health and well-being in the Nechako watershed of northern British Columbia. It considers how institutions represent places, communities, impacts and evidence through policy frameworks, administrative categories, data and development narratives; how these representations shape authority and decision-making; and how tensions among energy, environmental, economic and community priorities become consequential for health equity.
Using sequential mixed methods, the dissertation develops a place-based account of how cumulative change and institutional decisions are experienced in communities, and how governance processes can contribute to inequitable health outcomes.
Doctoral dissertation defense presentation.
Publications and selected writing
Selected funding received
Teaching and mentorship
I teach and support learning in population health, health promotion, human development, epidemiology, statistics, environmental governance and health innovation. My approach connects analytical rigour with lived experience, institutional context and practical action.
Invitation
I welcome occasional invitations to speak, teach, facilitate a discussion, contribute to an advisory group, collaborate on research, or support an evidence and decision-making initiative.