Ali Aouad

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

aaouad AT london.edu

+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 marketplaces to culture. I try to understand better how to allocate resources or personalize assortment offerings under various forms of uncertainty, e.g., stochastic choice preferences and dynamic matching networks.  

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 becoming an LBS student, please apply here.

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

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

-Entrant: Abhishek Deshmane: Second Prize in 2022 Revenue Management & Pricing Student Paper Competition, First Prize in IBM Service Science Student Paper Competition 

- Second Prize in Junior Faculty Interest Group (JFIG) Paper Competition, 2022

- EC 2021 Workshop on the Design of Online Platforms: Frontiers and Challenges

- Spotlight  track, Revenue Management and Pricing Conference, 2019 

- Appeared in The 21st ACM Conference on Economics and Computation (EC), 2020 

- Appeared in The 22nd ACM Conference on Economics and Computation (EC), 2021

- Spotlight  track, Revenue Management and Pricing Conference, 2021 

- Finalist in the 2021 M&SOM Best OM Paper Published in Operations Research, 2016 INFORMS Student Paper Nicholson Prize