Ali Aouad

Regent's Park, London, United Kingdom (NW14SA) 

aaouad AT

+44(0)20 7000 8858

My research interests are in the interface of algorithm design under uncertainty and the operations of digital platforms, with applications ranging from revenue management and market design to the public sector. 

My research aims to advance the theory and practice of algorithms and data-driven decision processes in assortment and inventory systems, matching markets, and online platforms, using tools from optimization (online/approximations), stochastic modeling, and game theory. As digitization and algorithmic decision-making expand to new sectors,  I am particularly interested in societal impact for culture and food security management.

I am an associate editor in the journal Operations Research, Stochastic Models area. I previously held visiting positions at the Simons Institute for the Theory of Computing, UC Berkeley (Fall 2022) and Stanford GSB OI&T (Fall 2021). In 2017-2018, I was an applied scientist in the Marketplace Optimization group at Uber Technologies.  I worked and consulted for the Matching Science team to design and experiment with new matching and pricing algorithms. I received a PhD in Operations Research from the Massachusetts Institute of Technology (MIT) in 2017, where I collaborated with Profs. Vivek Farias, Retsef Levi, and Danny Segev. Before MIT, I earned an MS in Applied Mathematics from the Ecole Polytechnique (Paris) in 2013.  I was born in Meknes, Morocco.

Research teams 

I have been fortunate to work with fantastic Ph.D students:

If you are interested in collaborating with me, please contact me via email.

Research work

keywords: algorithm design, matching markets, choice modeling, assortment and inventory systems, food security, cultural institutions.

 Appeared in the 24th ACM Conference on Economics and Computation (EC), 2023