Summary
Ali Aouad is an assistant professor and operations researcher specializing in AI-driven systems for supply chains, digital markets, and public sector decision-making, with 11 years of experience bridging academia and industry. He holds a PhD from MIT and advanced training from École Polytechnique, and has held faculty positions at London Business School and now MIT Sloan, plus a visiting scholar stint at Stanford GSB. His work blends rigorous theoretical modeling with practical marketplace and matching problems, informed by applied roles at Uber in marketplace optimization and consulting engagements in finance and strategy. He is comfortable translating academic insights into operational improvements—whether dynamic pricing, inventory optimization, or policy design—and has a track record of collaborating across academia, industry, and the public sector. A detail that's not obvious from titles alone: his background spans both high-frequency quantitative finance problems and large-scale marketplace engineering, giving him a rare ability to connect stochastic optimization with real-world platform constraints.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Operations Research, Doctor of Philosophy (PhD), Operations Research at Massachusetts Institute of Technology
Preparatory Class, Preparatory Class at Lycée Louis le Grand
Master's Degree, Applied Mathematics, Master's Degree, Applied Mathematics at Ecole polytechnique
French, Arabic, English