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Ali Aouad

Assistant Professor Management Science and Operations

BSc MSc (Ecole) PhD (Massachusetts Institute of Technology)

Dr Ali Aouad's research revolves around the design and analysis of algorithms, with applications to operations management. His current interests include choice modelling, revenue management, and the design of matching markets. His interests range from exploring the fundamental properties of algorithms to driving their implementation in the practice.

He holds a PhD in Operations Research from Massachusetts Institute of Technology (MIT) and an MS and BS in Applied Mathematics from Ecole Polytechnique (Paris). He has research articles published in Operations Research, Mathematics of Operations Research and Mathematical Programming.

Dr Aouad was awarded the Best Student Paper Prize by the Operations Research Center at MIT in 2015, and was a finalist in the INFORMS Nicholson Prize competition a year later.

Alongside academia, Dr Aouad has worked in various capacities in technology, quantitative finance and management consulting firms. Before joining LBS, he spent a year at the Marketplace Optimization and Data Science Group at Uber Technologies (San Francisco), where he contributed to the design and implementation of new algorithms that improved the cost efficiency of the matching platform.

Personal website:


Approximation algorithms for dynamic assortment optimization models

Aouad A; Levi R; Segev D

Mathematics of Operations Research 2019 Vol 44:2 p 487-511

The ordered k-median problem: surrogate models and approximation algorithms

Aouad A; Segev D

Mathematical Programming 2019 Vol 177:1-2 p 55-83


Greedy-like algorithms for dynamic assortment planning under multinomial logit preferences

Aouad A; Levi R; Segev D

Operations Research 2018 Vol 66:5 p 1321-1345

The approximability of assortment optimization under ranking preferences

Aouad A; Farias V; Levi R; Segev D

Operations Research 2018 Vol 66:6 p 1661-1669

Research Interests

  • Choice Modelling
  • Inventory and Revenue Management
  • Matching Markets
  • Approximation Algorithms
  • Stochastic Optimization