My dissertation studies how U.S. workers have reacted to technological change. I outline the historical scale and scope of employee activism in the U.S. before examining how workers have both aided and impeded the integration of technologies into the workplace and what factors contribute to successful integration. I examine recent protests around AI technologies in the workplace and determine who will be most impacted by changes in algorithmic labor and management. In 2023, I was awarded the MIT Open Data Prize for contributions to publicly accessible data.

My research has been featured in The New York Times, NPR, WIRED, MIT Tech Review, TIME, the Los Angeles Times, the San Francisco Chronicle, and Business Insider, among others, and I have written op-eds for The Guardian and Tech Policy Press. Prior to my PhD, I worked in finance at Bernstein Research and journalism at Bloomberg. In my spare time, I enjoy reading long novels (current project: Ulysses by James Joyce), visiting art museums, and long-distance running on hiking trails all over the Bay Area.