Jyotsana Kala is a PhD candidate in economics at UC Irvine specializing in macro labor economics. Her research examines the intersection of market power and artificial intelligence in labor markets, with a particular focus on how firms in the platform economy use data and algorithms to exercise monopsony power and extract rents from workers. She has presented her work at leading venues, including the Stanford Institute for Theoretical Economics and the All-California Labor Economics Conference. Her contributions have been recognized with the Sheen T. Kassouf Endowed Fellowship and a research grant from the International Center for Law & Economics for her work on algorithmic wage discrimination. Beyond her research, Jyotsana is a Pedagogical Scholar at UC Irvine, where she develops and leads teaching workshops to support innovative and inclusive pedagogy.
