Research
My work sits at the intersection of media, technology, education, policy, justice, and data. Some of the key themes and projects include:
AI, EdTech, and Education Policy (Doctoral Research)
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Examining social implications of artificial intelligence (AI) in education.
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Interests in how education is becoming more digital/datafied, how algorithms are being used in educational settings (e.g. to monitor students, predictive analytics), and what that means in terms of power, surveillance, and rights.
Platformized Gig Work / Racialized labor (2023)
- In collaboration with the BC Federation of Labour, Labour Studies at SFU, and the Canadian Centre for Policy Alternatives, we examined what constitutes 'good work' in the era of platformized gig work. Under the project title “Gig Workers Deserve Better,” I interviewed over 50 workers in the delivery and ride-hailing sector and investigated the working conditions of these sectors in British Columbia, Canada.​
BRIDGE Consortium Project
(2025-2027)
• This project examines invisible spaces run by algorithm - Persona-Based research in relation to vaccine hesitancy.
Keypunch operation: Invisible labor of women tech workers in the 1970s Canada
This project examined keypunch operation, an early form of female immigration labor in the 1970s-2000s in Canada. Employing oral histories and archival research, we argue that keypunch operation is an early form of gamified labor. By centering the voices and experiences of Korean Canadian women, this paper recovers a forgotten story of marginalized labor and offers a new origin point for understanding gamified work as foundational to the rise of computing and today’s digital economy.
This work will be published in Catalyst: Feminism, Theory, Technoscience (forthcoming in 2026).