Zsolt Katona

Zsolt Katona is Cheryl and Christian Valentine Professor at the Haas School of Business. His research focuses on online marketing strategy, networks, and artificial intelligence. He studies how organizations can better take advantage of new digital technologies and AI, how they can integrate them into their operations in an efficient way, and develop corresponding best practices.

Katona is faculty director of the Fisher Center for Business Analytics at the Haas School, where leads collaborations with firms on big data and AI applications. He leads the AI task force at the Haas School and is co-chairing the UC Berkeley faculty AI workgroup, both dedicated to developing policies and strategies that keep Berkeley at the cutting edge as AI transforms education at every level. He was named a Marketing Science Institute Scholar awardee and was a Barbara and Gerson Bakar Faculty Fellow. He is associate editor of the journals Management Science and Marketing Science. Before joining Berkeley Haas, Katona received his PhD in Management from INSEAD. He also holds a PhD in Computer Science and an MSc in Mathematics, Eotvos Lorand University, Hungary.