- Search
Search
- LoginAccess your ApplicationFor current applicantsInvalid APOL credentials
Forgotten your credentials? click here
Or learn more about our programmes and applyAccess MyINSEADFor current participants and alumni
Antoine Desir
Assistant Professor of Technology
and Operations Management
Antoine is an Assistant professor of Technology and Operations Management at INSEAD. His research applies mathematical modeling and analytics to operations management problems with an aim to: (1) quantify fundamental tradeoffs, and (2) design efficient data-driven algorithms to support operational decisions. More precisely, he focuses on revenue management and choice modeling with applications such as online advertising. He was an MSOM student paper finalist in 2014 and 2017 and a Nicholson student paper finalist in 2014 and 2015. He spent a year as a post doctoral researcher at Google NYC.
Antoine holds a BA degree in Applied Mathematics from Ecole Polytechnique and a PhD in Operations Research from Columbia University. He teaches the Social Media Analytics MBA elective course as well as the PhD core Optimization course at INSEAD.
Research
Journal publications
Robust Assortment Optimization under the Markov Chain Model. Accepted for publication at Operations Research, 2022. (joint with Vineet Goyal, Bo Jiang, Tian Xie and Jiawei Zhang)
Incentive-compatible assortment optimization. Accepted for publication at Management Science, 2022. (joint with Santiago Balseiro)
Best of both worlds ad contracts: guaranteed allocation and price with programmatic efficiency. Management Science, Articles in Advance, 2022. (joint with Maxime Cohen, Nitish Korula and Balasubramanian Sivan)
Shapley meets uniform: An axiomatic framework for attribution in online advertising. Management Science, 68(10), pages 7457-7479, 2022. (joint with Omar Besbes, Vineet Goyal, Garud Iyengar and Raghav Singal)
- Second place in the 2019 Revenue Management and Pricing student paper competition (Student: Raghav Singal)
Capacitated assortment optimization: hardness and approximation. Operations Research,70(2), pages 893-904, 2022. (joint with Vineet Goyal and Jiawei Zhang)
Mallows-smoothed distribution over rankings approach for modeling choice. Operations Research, 69(4), pages 1206-1227, 2021. (joint with Vineet Goyal, Danny Segev and Srikanth Jagabathula)
- Finalist in the 2017 MSOM student paper competition
Capacity constrained assortment optimization under the Markov chain based choice model. Management Science 66(2), pages 698-721, 2020. (Joint with Vineet Goyal, Danny Segev and Chun Ye)
- Finalist in the 2015 Nicholson student paper competition
Sparse process flexility design: Is long chain really optimal? Operations Research 64(2), pages 416-431, 2016. (joint with Vineet Goyal, Yehua Wei and Jiawei Zhang)
- Finalist in the 2014 Nicholson student paper competition
- Finalist in the 2014 MSOM student paper competition
Papers in refereed conferences
Shapley meets uniform: An axiomatic framework for attribution in online advertising. In Proceedings of ACM World Wide Web Conference (WWW), 2019. (joint with Omar Besbes, Vineet Goyal, Garud Iyengar and Raghav Singal)
Assortment optimization under the Mallows model. In Proceedings of Advances in Neural Information Processing Systems (NIPS), 2016. (joint with Vineet Goyal, Danny Segev and Srikanth Jagabathula)
Assortment optimization under a random swap based distribution over permutations model. In Proceedings of ACM Conference on Electronic Commerce (EC), 2016. (joint with Vineet Goyal and Danny Segev)
Games of network disruption and idempotent algorithms. In Proceedings of European Control Conference (ECC), 2013. (joint work with William McEneaney)
Under review
Robust Label Attribution for Real-Time Bidding. (joint with Martin Bompaire and Benjamin Heyman)
Price Delegation with Learning Agents. (joint with Atalay Atasu and Florin Ciocan)
Representing random utility choice models with neural networks. (joint with Ali Aouad)
- Second place in the 2022 Junior Faculty Interest Group paper competition
My thesis
Fundamental Tradeoffs for Modeling Customer Preferences in Revenue Management.
- INFORMS Revenue Management and Pricing Section Dissertation prize (2018)
Contact
Antoine Désir
Email: [email protected]
INSEAD Europe Campus
Boulevard de Constance
77305 Fontainebleau Cedex
France
