Maximilian SCHIFFER

Professeur Associé

Information Systems et Operations Management

schiffer@hec.fr
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Biographie

Maximilian Schiffer is an Associate Professor in the Information Systems and Operations Management department at HEC Paris and holds the Hi! PARIS Chair in “Artificial Intelligence for Decision Making in Business” at HEC Paris, supported by the France 2030 AI Cluster programme. Prior to joining HEC, he was a tenured Professor at the Technical University of Munich (TUM). He received his Ph.D. in Operations Research from RWTH Aachen University in 2017 and subsequently held a visiting postdoctoral scholar position at Stanford University.

His research operates at the intersection of artificial intelligence, machine learning, and operations research. Specifically, his work focuses on Decision-Focused Learning, Structured Reinforcement Learning, and stochastic optimization, developing methodologies for high-impact business decision-making in operations, supply chains, and transportation. He regularly publishes in top-tier Operations Research and Management Science journals, including Management Science, Operations Research, Mathematical Programming, and Production and Operations Management. Additionally, his work frequently appears at leading machine learning conferences such as NeurIPS, ICML, ICLR, and AAAI.

Maximilian's contributions to the field have been recognized with numerous honors, including the INFORMS TSL Dissertation Prize , the GOR Doctoral Dissertation Prize , and the Paper of the Year 2024 Award from INFORMS Transportation Science. He is also a frequent speaker at leading international venues, having delivered among others the opening keynote at ROADEF 2025 in Paris , as well as invited keynotes at LION , the AAAI AI4Opt Workshop , and a Pierce Seminar at Massachusetts Institute of Technology

Articles scientifiques

Support vector machines with the hard-margin loss: optimal training via combinatorial Benders’ cuts

Journal of Global Optimization, mai 2025, vol. 92, n° 1, pp 205-225, (in coll. with Í. Santana, B. Serrano, T. Vidal)

Reduce-then-Optimize for the Fixed-Charge Transportation Problem

Transportation Science, mai - juin 2025, vol. 59, n° 3, pp 540-564, (in coll. with C. Spieckermann, S. Minner)

Coordinating Charging Request Allocation Between Self-Interested Navigation Service Platforms

INFORMS Journal on Computing, mars - avril 2025, vol. 37, n° 2, pp 293-314, (in coll. with M. Guillet)

Staggered routing in autonomous mobility-on-demand systems

European Journal of Operational Research, décembre 2025, vol. 327, n° 3, pp 875-891, (in coll. with A. Coppola, G. Hiermann, D. Paccagnan)

It’s All in the Mix: Technology choice between driverless and human-driven vehicles in sharing systems

European Journal of Operational Research, août 2025, vol. 324, n° 3, pp 969-980, (in coll. with L. Martin, S. Minner, M. Pavone)

Branch and Price for the Stochastic Traveling Salesman Problem with Generalized Latency

Transportation Science, mars - avril 2025, vol. 59, n° 2, pp 229-249, (in coll. with B. Lienkamp, M. Hewitt)

Column generation for solving large scale multi-commodity flow problems for passenger transportation

European Journal of Operational Research, avril 2024, vol. 314, n° 2, pp 703-717, (in coll. with B. Lienkamp)

RoutingBlocks: An Open-Source Python Package for Vehicle Routing Problems with Intermediate Stops

INFORMS Journal on Computing, juillet - août 2024, vol. 36, n° 4, pp 966-973, (in coll. with P. S. Klein)

Public transport across models and scales: A case study of the Munich network

PNAS Nexus, novembre 2024, vol. 3, n° 11, pp 489, (in coll. with J. Mölter, J. Ji, B. Lienkamp, Q. Zhang, A. T. Moreno, R. Moeckel, C. Kuehn)

On the impact of co-optimizing station locations, trip assignment, and charging schedules for electric buses

Transportation Research Part C: Emerging Technologies, octobre 2024, vol. 167, n° 104839, (in coll. with R. B. Nath, T. Rambha)

Actes de conférence

Cahiers de recherche

Articles scientifiques

Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control

INFORMS Journal on Computing, mai - juin 2026, vol. 38, n° 3, pp 745-765, (in coll. with K. Jungel, A. Parmentier, T. Vidal)

Mitigating retail platform externalities via inter-supplier returns

European Journal of Operational Research, mai 2026, vol. 331, n° 1, pp 92-107, (in coll. with C. J. Liepold, P. Amorim)

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems

IEEE Transactions on Robotics, 2026, vol. 42, pp 1428-1447, (in coll. with X. Li, M. Alharbi, D. Gammelli, J. Harrison, F. Rodrigues, M. Pavone, E. Frazzoli, J. Zhao, G. Zardini)

Branch and Price for the Stochastic Traveling Salesman Problem with Generalized Latency

Transportation Science, mars - avril 2025, vol. 59, n° 2, pp 229-249, (in coll. with B. Lienkamp, M. Hewitt)

Actes de conférence

Cahiers de recherche

Formation

  • Ph.D. (with honors) in Operations Research, RWTH Aachen University - Allemagne

Nominations académiques

Responsabilités académiques à HEC

  • 2026- Professeur Associé HEC Paris

Responsabilités académiques externes

  • 2022-2022 Professor for Business Analytics and Intelligent Systems Technical University of Munich_TUM

Activités scientifiques

Adhésion à l'organisation académique ou professionnelle

  • Membre : German Society of Operations Research (GOR), Institute for Operations Research and the Management Sciences (INFORMS), Deutscher Hochschullehrer Verband (DHV), Verband der Hochschullehrer für Betriebswirtschaftslehre (VHB)

Activités scientifiques

  • 2021- Editorial advisory board member (early career) Transportation Research Part C

    • Prix ​​& honneurs

    • 2025 Paper of the Year 2024 Award, INFORMS Transportation Science
    • 2025 Best Paper Award, LION19 – The 19th Learning and Intelligent Optimization Conference