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. He is broadly interested in choice modeling, revenue management, and the design of matching markets. His work ranges from analyzing 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:

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


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


Market Segmentation Trees

Aouad A; Elmachtoub A N; Ferreira K J; McNellis R



Assortment optimization under consider-then-choose choice models

Aouad A; Farias V F; Levi R

Social Sciences Research Network

Click-based MNL: algorithmic frameworks for modeling click data in assortment optimization

Aouad A; Feldman J; Segev D; Zhang D

Social Sciences Research Network

Dynamic Stochastic Matching Under Limited Time

Aouad A; Saritac O

Social Sciences Research Network

Teaching portfolio

Our teaching offering is updated annually. Faculty and programme material are subject to change.


Core courses

  • Data Analytics for Management
  • Decision Analytics & Modelling