Short Bio:
Rad Niazadeh is an Associate Professor of Operations Management at the University of Chicago Booth School of Business. He is also part of the faculty at Toyota Technological Institute of Chicago (TTIC) by a courtesy appointment, and a faculty advisor at Lyft Inc. (Fulfillment & Matching Science). Prior to joining Chicago Booth, he was a visiting researcher at Google Research NYC and a Motwani postdoctoral fellow at Stanford University, Computer Science Department. He obtained his PhD in Computer Science (minored in Applied Mathematics) from Cornell University. He primarily studies the theory and practice of data-driven online decision making and algorithmic mechanism design, with applications to operations of gig-economy platforms, electronic marketplaces, non-profit organizations, and governmental agencies. Rad has received several awards for his research, including the INFORMS MSOM Young Scholar Prize (2026), Asness Junior Faculty Fellowship, INFORMS Auctions and Market Design Rothkopf Junior Researcher Paper Award (first place in 2021 and 2024, second place in 2023), INFORMS MSOM Best Student Paper Award 2024 (first place) , International Joint Conferences on Artificial Intelligence (IJCAI) 2024 Distinguished Paper Award, INFORMS Service Science IBM Best Student Paper Award (third place in 2023), INFORMS Data Mining Best Paper Award (finalist), the INFORMS Revenue Management and Pricing Dissertation Award (honorable mention), the Google PhD Fellowship in Market Algorithms, the Stanford Motwani fellowship, and the Cornell Jacobs fellowship.