- Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France. arXiv, 2024 more…
Research Focus
- Graph neural networks for traffic prediction
- Agent-based simulation
- On-demand mobility systems
Curriculum Vitae
Work experience | |
| since 2023 | Technical University of Munich Chair of Traffic Engineering and Control Researcher |
| 2020 - 2023 | BooleWorks GmbH Software-Developer |
| 2019 | Bosch Center for Artificial Intelligence Master's thesis "Persistency criteria for the correlation clustering problem" |
| 2018 | Fraunhofer Institute for Algorithms und Scientific Computing Internship |
Education | |
| 2018 | University of Cambridge, Cambridge, UK M.Sc. in Mathematics |
| 2017 | University of Sussex, Brighton, UK B.Sc. in Mathematics Semester abroad in Brisbane, Australia |
Publications
Supervised Theses
-
Quantifying Impacts of Mobility Policy Measures Using the Example of Paris.
Master Thesis. Start: 14.8.2024; End: 14.3.2025. Mentoring: Natterer, Dr. Dandl, Dr. Loder. Abstract. -
Analysis of the street and bicycle network changes in Paris.
Bachelor Thesis. Start: 12.12.2023; End: 12.5.2024. Mentoring: Natterer, Dr. Loder. Abstract.