معرفی
Ali Makhdoumi is an Associate Professor in the Decision Sciences area at Duke University's Fuqua School of Business, with a secondary appointment in the Computer Science Department. He holds a BSc in Electrical Engineering and Mathematics from Sharif University of Technology and a PhD from MIT's Laboratory for Information and Decision Systems, advised by Professors Asuman Ozdaglar and Daron Acemoglu.
His research focuses on optimization, game theory, networks, and learning theory, with applications to data markets, privacy, market design, and mechanism design. Key contributions include analyzing inefficiencies in data markets due to privacy externalities, designing privacy-preserving mechanisms, and exploring behavioral manipulation in data-driven systems.
He teaches courses such as Decision Models (MBA/WEMBA), Applied Probability and Statistics (MQM program), Convex Optimization (PhD program), and Modeling and Decision Analysis (MMS program). His work has been published in top journals like Operations Research, Management Science, and Econometrica, and recognized in venues like EC, NeurIPS, and WINE.
Makhdoumi's research also addresses challenges in epidemics, dynamic pricing, and network effects. He holds patents on utility-aware privacy-preserving techniques and collaborates extensively with industry and academia to bridge theoretical insights with real-world applications.
