Rad Niazadeh

Rad Niazadeh is an Associate Professor of Operations Management at the University of Chicago Booth School of Business and holds a courtesy appointment at the Toyota Technological Institute at Chicago (TTIC). He previously served as a visiting researcher at Google Research NYC and a Motwani postdoctoral fellow at Stanford University's Computer Science Department. He earned his PhD in Computer Science (with a minor in Applied Mathematics) from Cornell University.

• Research Interests: Focus on data-driven online decision-making and algorithmic mechanism design for platforms and non-profit operations. Key areas include fair resource allocation, dynamic matching algorithms, and socially-aware AI.
• Recent Publications: 15+ works on topics spanning online algorithms (e.g., refugee resettlement, reusable resource matching), fairness in AI (e.g., equity-constrained search), and market design (e.g., pricing with cancellations, combinatorial Bernoulli factories).

Scientific Awards: Recipient of the Asness Junior Faculty Fellowship (2023), multiple INFORMS Rothkopf Junior Researcher Prizes, and IJCAI Distinguished Paper Award (2024). His co-authored works have won best paper honors at INFORMS and MSOM.

Advising: Mentoring PhD students Mohammad Reza Aminian (awarded INFORMS Service Science Best Student Paper), Soonbong Lee (INFORMS AMD First Place), and Yueyang Zhong. Collaborates with principal researchers Yiding Feng and Pranav Nuti.