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Curriculum Vitae

Dr.ir. Sebastiaan Breedveld obtained a master in Applied Mathematics at the Delft University of Technology. The research for his master thesis on radiation therapy treatment planning was done at the Department of Radiation Oncology of the Erasmus University Medical Center in Rotterdam.

This work continued in a PhD position, under the supervision of prof.dr. Ben Heijmen. It soon became apparent that automated treatment planning is possible, and leads to high quality treatment plans. After successful clinical introduction of the algorithm, Sebastiaan Breedveld continued working on his PhD, which was obtained with honours (cum laude) in 2013. In 2015, he received the Multi-Criteria and Decision-Making Doctoral Dissertation Award for the application of and contribution to this field. In 2016, he received a Veni grant to furhter improve the quality and speed of multi-criteria treatment planning. He gained ideas on how instantaneous treatment planning can be achieved using deep learning, which can enable a high level of personalised radiotherapy. A Vidi grant was received in 2021 to explore this idea.

Sebastiaan Breedveld currently continues his research on improving and automating treatment planning in the field of radiotherapy, with the motto: Each patient should receive the best treatment technically possible: not the best we could achieve.



Education
2006-2012Doctorate in Medical Physics (with honours), Erasmus University Rotterdam, The Netherlands
1998-2005Master in Applied Mathematics, Delft University of Technology, The Netherlands


Employment
2025-Associate Professor at Erasmus University Medical Center Rotterdam, The Netherlands
2016-2025Assistant Professor at Erasmus University Medical Center Rotterdam, The Netherlands
2013-2016Scientific Researcher at Erasmus University Medical Center Rotterdam, The Netherlands
2006-2012PhD student at Erasmus University Medical Center Rotterdam, The Netherlands
2004-2005MSc student at Erasmus University Medical Center Rotterdam, The Netherlands
2001Developer educational software at University of Technology Delft, The Netherlands


Research Interests
Radiation therapy, applied mathematics, decision-making, multi-criteria, (large scale) optimization, operations research, high performance computing.

Honours, awards and projects
2023NWO OTP Grant on Exploration and optimisation of very high-energy electron beam therapy – a promising new cancer treatment modality (with D. Lathouwers (TU Delft) and T. Böhlen (CHUV)) (link)
2021NWO Vidi Grant on INSTantaneous Optimisation of dose distributions for RADiation treatment of cancer patients (INSTORAD) (link)
2016NWO Veni Grant on Large-scale improvement of radiation treatment of cancer patients (link)
2015Winner Multiple Criteria and Decision Making (MCDM) Doctoral Dissertation Award 2015 (link)
2015Erasmus MC Efficiency Grant on Improving patient selection for Proton Therapy: Getting the best from limited resources (with M.S. Hoogeman)
2013PhD with honours (link)
2010U.S. Patent 8,144,833 Planning for adaptive radiotherapy (link)
2006Article Fast, multiple optimizations of quadratic dose objective functions in IMRT selected for inclusion in IOPselect (link)


Memberships and other activities
Member of:
International Society on Multiple Criteria Decision Making (MCDM)
European Society for Radiotherapy and Oncology (ESTRO)
Mathematical Optimization Society (MOS)
Reviewer for:
Medical Physics
Physics in Medicine and Biology
Radiotherapy and Oncology
International Journal of Radiation Oncology*Biology*Physics
European Journal of Operational Research
Radiation Oncology
GigaScience
Applied Mathematics and Computation
Physica Medica: European Journal of Medical Physics
Technology in Cancer Research & Treatment
Journal of Radiation Research
Optimization Methods and Software
Supervision of students, including active:
2 post-docs
11 PhD projects
11 master projects
6 master internships
7 bachelor projects