Research

Research Interests

T. Gattermann-Itschert, L. M. Poreschack & U. W. Thonemann (2023): Using Machine Learning to Include Planners’ Preferences in Railway Crew Scheduling Optimization. Transportation Science, 57(3), 796-812.

The Value of Task Segmentation in Human-AI Collaboration: The Case of Surgery Duration Predictions (CEMS Conference, Riezlern, Austria, 01/2023)
Präferenzen in der Lokführereinsatzplanung (Supply Chain Analytics Afternoon, Cologne, Germany, 10/2022)
Planners’ Preferences in Crew Scheduling Optimization (CEMS Conference, online, 01/2022)
Using Machine Learning to Include Planners’ Preferences in Crew Scheduling Optimization (OR Conference, online, 08/2021)

since 2020	Research Assistant, Seminar for Supply Chain Management and Management Science, University of Cologne
since 2020	Ph.D in Supply Chain Management, University of Cologne
2023	Visiting Researcher, Judge Business School, University of Cambridge, UK
2023	Behavioral Operations Management Summer Institute, Harvard Business School, Boston, USA
2017-2020	Master of Science in Mathematics with Minor in Economics University of Cologne
2019-2020	Student Assistant, Mathematics Institute, University of Cologne
2018-2019	Master of Advanced Studies in Pure Mathematics, University of Cambridge
2018	Scholarship, Cambridge Trust Santander Bank Scholarship
2016-2018	Student Assistant, Mathematics Institute, University of Cologne
2014-2017	Bachelor of Science in Mathematics with Minor in Economics, University of Cologne
2016	Gender Promotion for Mathematics, University of Cologne
2016	Internship Data Management Solutions, 1WorldSync, Chicago US
2014	Scholarship, National Scholarship Programme
2014	Awardee, Glemser Stiftung for Future Excellency