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

Disruption evaluation in end-to-end semiconductor supply chains via interpretable machine learning

IFAC-PapersOnLine (formerly known as IFAC Proceedings Volumes), 2022, vol. 55, n° 10, pp 661-666, (in coll. with F.-M. Jaenichen, C. J. Liepold, A. Ismail, H. Ehm)

A Large Neighborhood Search for the Vehicle Routing Problem with Multiple Time Windows

Transportation Science, septembre - octobre 2022, vol. 56, n° 5, pp 1369-1392, (in coll. with H. Schaap, M. Schneider, G. Walther)

On the Interaction Between Autonomous Mobility on Demand Systems and Power Distribution Networks—An Optimal Power Flow Approach

IEEE Transactions on Control of Network Systems, septembre 2021, vol. 8, n° 3, pp 1163-1176, (in coll. with A. Estandia, F. Rossi, J. Luke, E. C. Kara, R. Rajagopal, M. Pavone)

Integrated planning for electric commercial vehicle fleets: A case study for retail mid-haul logistics networks

European Journal of Operational Research, juin 2021, vol. 291, n° 3, pp 944-960, (in coll. with P. S. Klein, G. Laporte, G. Walther)

Runway scheduling during winter operations

Omega - The International Journal of Management Science, juillet 2021, vol. 102, n° 102325, (in coll. with M. Pohl, R. Kolisch)

Integrated purchasing and production planning for a non-Ferrous metal production network

Omega - The International Journal of Management Science, janvier 2021, vol. 98, n° 102136, (in coll. with M. Siemon, G. Walther)

A polynomial-time algorithm for user-based relocation in free-floating car sharing systems

Transportation Research Part B: Methodological, janvier 2021, vol. 143, pp 65-85, (in coll. with G. HIERMANN, F. RÜDEL, G. WALTHER)

Actes de conférence

Cahiers de recherche

Articles scientifiques

Designing tractable piecewise affine policies for multi-stage adjustable robust optimization

Mathematical Programming, novembre 2024, vol. 208, n° 1-2, pp 661-716, (in coll. with S. Thomä, G. Walther)

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)

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)

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)

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