Short Bio:
Rad Niazadeh is currently 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. 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 the goal of advancing the theoretical methodologies and practical foundations of online platforms, electronic marketplaces, and non-profit/governmental agencies in dynamic and complex environments. Rad has received several awards for his research, including the Asness Junior Faculty Fellowship, INFORMS Auctions and Market Design Rothkopf Junior Researcher Paper Award (first place in 2021, second place in 2023, first place in 2024), 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.