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

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)

Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows

Transportation Science, juillet - août 2024, vol. 58, n° 4, pp 708-725, (in coll. with L. Baty, K. Jungel, P. S. Klein, A. Parmentier)

Strategic Workforce Planning in Crowdsourced Delivery With Hybrid Driver Fleets

Production and Operations Management, novembre 2024, vol. 33, n° 11, pp 2177-2200, (in coll. with J. Luy, G. Hiermann)

Bilevel optimization for feature selection in the data-driven newsvendor problem

European Journal of Operational Research, juin 2024, vol. 315, n° 2, pp 703-714, (in coll. with B. Serrano, S. Minner, T. Vidal)

Robust Charging Network Planning for Metropolitan Taxi Fleets

Transportation Science, mars - avril 2024, vol. 58, n° 2, pp 295-314, (in coll. with G. Godbersen, R. Kolisch)

On the Interplay Between Self-Driving Cars and Public Transportation

IEEE Transactions on Control of Network Systems, septembre 2024, vol. 11, n° 3, pp 1478-1490, (in coll. with N. Lanzetti, M. Ostrovsky, M. Pavone)

Driver routing and scheduling with synchronization constraints

Transportation Research Part B: Methodological, août 2023, vol. 174, n° 102772, (in coll. with P. Ammann, R. Kolisch)

Smart and sustainable city logistics: Design, consolidation, and regulation

European Journal of Operational Research, juin 2023, vol. 307, n° 3, pp 1071-1084, (in coll. with P. Fontaine, S. Minner)

On the benefits of ex-post pricing for ride-pooling

Transportation Research Part C: Emerging Technologies, octobre 2023, vol. 155, n° 104290, (in coll. with P. Karaenke, S. Waldherr)

Actes de conférence

Cahiers de recherche

Articles scientifiques

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)

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)

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)

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)

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