Sebastiaan Breedveld

Dr. Sebastiaan Breedveld is an Associate Professor in the Department of Radiation Oncology at Erasmus University Medical Center in Rotterdam, The Netherlands. His research focuses on improving radiation therapy through applied mathematics, multi-criteria optimization, and automated treatment planning. He developed the clinically implemented Erasmus-iCycle algorithm and leads projects like TROTS (Radiotherapy Optimisation Test Set).

Education includes a PhD in Medical Physics (cum laude) from Erasmus University Rotterdam and an MSc in Applied Mathematics from Delft University of Technology.

Research interests center on developing computational methods for real-time, personalized radiotherapy. Key areas include:

• Large-scale optimization for treatment planning
• Deep learning for instantaneous dose prediction
• Multi-criteria decision analysis for balancing treatment trade-offs
• Proton therapy and VMAT techniques
• High-performance computing applications

Recent publications demonstrate strong focus on AI-driven automation in brachytherapy, IMPT robustness, and FLASH proton therapy. Work consistently addresses clinical translation of mathematical optimization.

Significant scientific awards include:

• NWO Vidi Grant (2021) for INSTORAD project
• NWO Veni Grant (2016)
• MCDM Doctoral Dissertation Award (2015)
• Erasmus MC Efficiency Grant (2015)
• PhD with honors (2013)

Leads research group supervising 2 post-docs, 11 PhD students, and numerous master/bachelor projects. Major grants support work in proton therapy optimization and automated planning systems.

Developed TROTS dataset for benchmarking radiotherapy optimization algorithms and collaborates internationally through projects like BiCycle for automated brachytherapy planning.