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.
| 2006-2012 | Doctorate in Medical Physics (with honours), Erasmus University Rotterdam, The Netherlands |
| 1998-2005 | Master in Applied Mathematics, Delft University of Technology, The Netherlands |
| 2025- | Associate Professor at Erasmus University Medical Center Rotterdam, The Netherlands |
| 2016-2025 | Assistant Professor at Erasmus University Medical Center Rotterdam, The Netherlands |
| 2013-2016 | Scientific Researcher at Erasmus University Medical Center Rotterdam, The Netherlands |
| 2006-2012 | PhD student at Erasmus University Medical Center Rotterdam, The Netherlands |
| 2004-2005 | MSc student at Erasmus University Medical Center Rotterdam, The Netherlands |
| 2001 | Developer educational software at University of Technology Delft, The Netherlands |
| 2023 | NWO 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) |
| 2021 | NWO Vidi Grant on INSTantaneous Optimisation of dose distributions for RADiation treatment of cancer patients (INSTORAD) (link) |
| 2016 | NWO Veni Grant on Large-scale improvement of radiation treatment of cancer patients (link) |
| 2015 | Winner Multiple Criteria and Decision Making (MCDM) Doctoral Dissertation Award 2015 (link) |
| 2015 | Erasmus MC Efficiency Grant on Improving patient selection for Proton Therapy: Getting the best from limited resources (with M.S. Hoogeman) |
| 2013 | PhD with honours (link) |
| 2010 | U.S. Patent 8,144,833 Planning for adaptive radiotherapy (link) |
| 2006 | Article Fast, multiple optimizations of quadratic dose objective functions in IMRT selected for inclusion in IOPselect (link) |