• Planung autonomer mobiler Roboter
• Picking und Batching Probleme im modernen Warehousing
• (Approximate) Dynamic Programming für Routing Probleme
• (Competitive) Analysis  für online Algortithmen in dynamischen Settings

• Lorenz, C. (2023). On design strategies for online algorithms to tackle batching- and picker routing problems in manual and robotized warehouses. Research presented at GPOM Conference 2023 (Süd-Workshop Quantitative Methoden, SWQM), January 20 2023, Augsburg.
• Lorenz, C, Mimmo, N., Otto, A. and Vigo, D. (2022) Polynomial approximate dynamic programming scheme for the weight constrained two-echelon routing problem with a drone. Book of Extended Abstracts.11th Triennial Symposium on  Transportation Analysis conference (TRISTAN XI) June 19-25, 2022, Mauritius Island 
• Lorenz,C., Mimmo, N., Otto, A. and Vigo, D. (2022) Very large-scale neighborhood search for drone routing with energy replenishment. Working paper. Arxiv, arXiv:2207.13940
• Lorenz, C., Otto, A. (2022). Routing of a robot and a mobile battery swap station with very large-scale neighborhood search. Book of Extended Abstracts. Eighth International Workshop on Freight Transportation and Logistics (Odysseus 2021), May 4-9 2022, Tangier, Morocco.
• Lorenz, C. (2021). A Very Large Scaled Neighborhood Search for the drone routing problem with mobile charging station. Research presented at GPOM Conference 2021 (Süd-Workshop Quantitative Methoden, SWQM), January 15 2021, online.

• Master Seminar in Management Science -  "Advanced topics in the design and application of online algorithms for the solution of dynamic optimization problems in production and logistics" (SS23)
• Bachelor Seminar in Management Science - "Intelligent planning of production and logistic processes in real-time environments: Exploring approaches from mathematical optimization " (SS23)
• Administratorin und Tutorin von Fundamentals of Business Analytics (WS21/22, SS22)
• Übungsleitung Supply Chain und Operations Management (WS20/21, SS21, WS21/22, WS22/23)
• Master Seminar in Management Science - "Scheduling Mobile Robots" (SS20)

• Seit 2020 Wiss. Mitarbeiterin und Doktorandin am Lehrstuhl für Management Science, Operations und Supply Chain Management der Universität Passau
• 2016-2019 Master-Studium (M.Sc.) Mathematik an der Technischen Universität München
• 2013- 2016 Bachelor-Studium (B.Sc.) Mathematik an der Technischen Universität München

Berufserfahrung/Praktika:

• SAP (2019)
• IDS Investment Data Services (2017-2018)
• Finanzchef24 (2015-2016)