Ali Aouad

Ali Aouad is an Assistant Professor at MIT Sloan School of Management (Department of Management Science and Operations) and holds an Associate Professor title (on leave) at London Business School. He earned a PhD in Operations Research from MIT and MS/BS in Applied Mathematics from École Polytechnique (Paris). His research focuses on algorithms and decision processes at the intersection of operations, computer science, and economics, with applications to supply/demand management, market design, public sector operations (e.g., food security), and online platforms.

• Education: BSc & MSc (École Polytechnique), PhD (MIT)
• Work Experience: Applied Scientist at Uber Technologies (2017-2018), consultant at Boston Consulting Group (Paris/Casablanca), and collaborations with tech firms.

His research interests span algorithmic market design, stochastic optimization, approximation algorithms, and digital platform mechanisms. Recent work explores layout optimization for cultural institutions, food subsidy efficacy in underserved communities, and dynamic pricing in matching systems. He co-advises PhD students at MIT and collaborates internationally.

• Awards: Multiple student paper competitions (POMS, INFORMS, IBM), Nicholson Prize finalist, and JFIG Paper Competition winner.
• Grants & Labs: Collaborates with industry partners (e.g., Uber) and leads research teams in public sector operations and matching systems design.