I study pathways toward desirable futures of work in the "AI economy." In one stream, I focus on the impact of AI on work and organizations, and explore the promise of "augmenting" work with AI. In a second stream, I focus on skilling and workforce development, particularly on initiatives to help entry-level workers enter and build sustainable careers in semiconductor manufacturing. My doctoral work is supported by a Stanford Graduate Fellowship, and a Research, Action, and Impact through Strategic Engagement (RAISE) Doctoral Fellowship. 

Before my doctoral studies, I worked in Singapore—with social psychologists at the NUS Business School, and urban geographers at Singapore University of Technology & Design—studying various topics related to the future of work, AI fairness and trustworthiness, and algorithmic management. I hold an M.A. in Sociology from Stanford University, and an M.A. in Philosophy and B.Eng. in Mechanical Engineering from the National University of Singapore.

I primarily use qualitative/ethnographic methods, and work at the intersections of organization theory, sociology of work, and science & technology studies. My research has been published in leading journals across management, philosophy, and human-computer interaction: including the Academy of Management Annals, Philosophy & Technology, Minds and Machines, ACM FAccT, and the International Journal of Human-Computer Interaction.