Ali Aouad

Ali Aouad is an Associate Professor at MIT Sloan School of Management, joining in 2024 as part of its new faculty. Previously, he held an Associate Professor position at London Business School (LBS). His research bridges operations, computer science, and economics, focusing on algorithms and decision processes applied to supply chain management, market design, digital platforms, and public sector operations.

Education: PhD in Operations Research from MIT, MS and BS in Applied Mathematics from École Polytechnique (Paris). Professional experience includes roles as an applied scientist at Uber’s Marketplace (2017–2018) and strategic consulting at Boston Consulting Group (Paris and Casablanca).

Research interests emphasize algorithms for dynamic matching, choice modeling, and public policy applications. Notable awards include the 2023 Poets & Quants Best 40-Under-40 Professors recognition, a 2023 ERC Starting Grant (£1.1M), and multiple INFORMS awards. He currently serves as an associate editor for Operations Research and Management Science.

Recent work includes studies on food subsidy impacts, cultural institution layout optimization, and stochastic matching frameworks. His research often integrates machine learning techniques with operational decision-making challenges in both private and public sectors.

Grants and collaborations highlight interdisciplinary efforts, such as the ERC-funded project on pathway operations in museums. Teaching accolades include multiple best teacher awards at LBS.