I study pathways toward desirable futures of work. 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 the "AI economy." 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 moral philosophers and social psychologists at the National University of Singapore, and public policy researchers at Singapore University of Technology and 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 use ethnographic and archival methods, and work across organization theory, sociology of work, and science & technology studies. My research has been variously published in prominent journals across management, sociology, philosophy, and human-computer interaction: including the Academy of Management Annals, Annals of the AAPSS, Philosophy & Technology, Minds and Machines, ACM FAccT, and the International Journal of Human-Computer Interaction.