Ali Aouad

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

aaouad AT

+44(0)20 7000 8858

My research interests lie at the intersection of algorithm design under uncertainty and operations management. My work studies data-driven decision processes for revenue management and market design within the algorithmic economy, as well as applications in the public sector, focusing on cultural institutions and food security management.

I am an associate editor in Operations Research and Management Science. Before LBS, 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