Michael Römer
Optimization meets learning for complex decisions under uncertainty
Acting Professor · Chair of Decision and Operation Technologies · Bielefeld University
I am Acting Professor at the Chair of Decision and Operation Technologies and Assistant Professor (Juniorprofessor) of Decision Analytics at the Faculty of Business Administration and Economics, Bielefeld University. I develop decision support methods that combine optimization, machine learning and simulation, especially for planning under uncertainty, with applications in health care, logistics and environmental decision-making.
Research
Two-stage and data-driven optimization; decision-focused learning.
Decision support for hospitals: ICU occupancy and admissions, clinical pathways, staff scheduling.
Network models and decision diagrams
Compact, learnable representations of scheduling and combinatorial optimization problems.
Language models for optimization
From problem descriptions to optimization models and new heuristics.
Environment and sustainability
Value of information and decision-focused learning for environmental monitoring and marine conservation.
Fulfilment, inventory, routing and loading, large-scale supply networks, and delivery scheduling for space logistics.
News
- 10/2026 An anticipatory multi-stage MIP approach for the Integrated Healthcare Timetabling Problem accepted in Operations Research, Data Analytics and Logistics
- 07/2026 Stream chair “Data Science meets Optimization” at IFORS 2026, Vienna
- 2026 Coordinator of the EURO Working Group “Data Science meets Optimisation”
- 2026 Combining OR and Data Science voted best Master’s course of the faculty
- 2026 Papers accepted at LION 20 and the DSO workshop @ IJCAI 2026
- 2026 An Exact Framework for Solving the Space-Time Dependent TSP published in INFORMS Journal on Computing
Contact
Faculty of Business Administration and Economics
Bielefeld University
33615 Bielefeld, Germany
+49 521 106-67889
michael.roemer@uni-bielefeld.de