The OpenTPS team

MIRO - UCLouvain

	Ana M. Barragán-Montero - Professor During my Phd, I worked on robust optimization for proton therapy at the MIRO laboratory, leading birth to our first prototype of open-source treatment planning system: MIROpt. After defending my Phd in 2017, I have continued to work on different topics to improve proton therapy and radiotherapy treatments: adaptive radiotherapy, fast robust optimization, Arc Proton Therapy, and the integration of artificial intelligence to automate and standardize clinical practice. Today, I am thrilled to be part of the OpenTPS team and contributing to this comprehensive open-source tool for the medical physics community
	Sophie Wuyckens - Founding member, researcher I graduated in Particle Physics and Cosmology from UCLouvain in Belgium in June 2018. I began my professional journey with an internship at CERN in the engineering department, which further fueled my passion for scientific research. Subsequently, I embarked on a doctoral program in Particle Physics, but after a year and a half, I made a personal decision to shift my focus towards Medical Physics. Currently, I am a PhD student specializing in Arc Proton Therapy, and I have been actively involved in this field since 2020.
	Margerie Huet Dastarac - Founding member, researcher After graduating in Electrical Engineering from UCLouvain in Belgium in 2019, followed by a one-year research internship at NTT in Japan, I started a PhD in MIRO lab. My research focuses on the development of uncertainty estimations for radiation therapy dose prediction AI models.
	Benjamin Roberfroid - researcher I graduated as a biomedical engineer at UCLouvain and then decided to specialize more in medical physics with an extra year of university courses for clinical physicists. Later, I had the opportunity to start a PhD thesis in the MIRO laboratory. My work deals with online adaptive radiotherapy for current state-of-the-art and emerging solutions.
	Danah Pross - researcher I graduated in Physics from Heidelberg University in 2021. During my Master I specialized in Medical Physics and worked on Monte Carlo simulations for proton therapy in magnetic fields in the scope of MR-guided proton therapy. In 2021 I started my PhD at MIRO lab at UCLouvain where I am working on beamlet-free optimization for proton therapy, combining Monte Carlo dose calculation and spot weight optimization to improve computational resource usage during treatment planning. I work with the open-source Monte Carlo code MCsquare and the combined Monte Carlo and optimization tool that is included in OpenTPS for beamlet-free optimization. I started out as a user of OpenTPS and am now thrilled to get more involved with its continued development by contributing my knowledge on optimization and Monte Carlo methods.
	Valentine Dormal - researcher I graduated in Computer Science Engineering at UCLouvain in 2023. During my master I specialized in artificial intelligence, optimization and algorithms. I then had the opportunity to embark on a PhD at the MIRO laboratory where I am currently working on a beamlet-free Monte Carlo optimizer for real-time adaptive proton therapy.
	Colin Gaban - researcher I graduated from UCLouvain in 2024 with a master's degree in medical physics, and wrote my thesis on robust optimization methods using OpenTPS to simulate treatments plans. I am currently developing OpenTPS for the MIRO laboratory.
	Eliot Peeters - researcher Currently a master student in Biomedical Engineering at UCLouvain, I am focusing on medical physics and medical imaging. Through some options courses in my bachelor, I have become much interested in the field of quantum physics thereby leading me to study proton therapy. I am now working as a student at the MIRO laboratory to help on the OpenTPS project and the OpenTPS website.
	Romain Schyns - researcher I am currently enrolled in a Master's program in Biomedical Engineering, focusing on Medical Physics at Uclouvain. I have a strong interest in proton therapy and treatment planning. I am actively involved in working on the OpenTPS software and website as part of my student job.
	John Lee - Professor Prof. John A. Lee is the current head of MIRO (Molecular Imaging Radiotherapy and Oncology) at UCLouvain/IREC (Institut de Recherche Expérimentale et Clinique) with research interests in image processing, optimization, and artificial intelligence for treatment planning in radiation oncology and proton therapy.
	Edmond Sterpin - Professor Prof. Dr. Edmond Sterpin is Associate Professor in medical physics, at both KU Leuven (Department of Oncology) and UCLouvain (Institut de Recherche Expérimentale et Clinique). His main task is to coordinate the research efforts related to the inter university proton therapy center PARTICLE in Leuven. His main research interests are treatment modelling with Monte Carlo simulations, automatic planning with artificial intelligence, adaptive radiotherapy, in vivo proton range verification and reference dosimetry.

PiLAB - UCLouvain

	Damien Dasnoy-Sumell - Founding member, researcher I did my PhD on mobile tumor tracking and breathing motion models for online applications. Now postdoc at UCLouvain and still in this field, I work with a small team of 4 people to predict the target motion, reconstruct 3D images from online 2D x-ray and take real-time decisions on the treatment. For this we use OpenTPS tools and different types of machine learning such as transformers, deep learning with convolutional neural networks or reinforcement learning. I have been involved in the development of OpenTPS for the image processing, data augmentation and 4D tools, as well as in the development of the GUI.
	Gauthier Rotsart de Hertaing - researcher Graduated in Electrical Engineering from UCLouvain in Belgium in June 2021, I started my PhD in PiLAB. I am working with Transformer networks for the forecasting of moving target such as lung tumors. I am currently developping patient-specific networks for online tumor motion forecasting throughout the patient's treatment.
	Mélanie Ghislain - researcher I graduated as a civil engineer in applied mathematics from UCLouvain in Belgium in June 2022. I have started a PhD program in artificial intelligence and protontherapy treatment optimization. I specialise in the application of reinforcement learning for the optimization of real-time decision-making during mobile tumors proton therapy treatment.
	Benoit Macq - Professor Prof. Benoit Macq leads the "pixels and interactions lab" at UCLouvain. He is a Fellow Member of the IEEE and Editor-in-Chief of IEEE Transactions on Image Processing. Benoit Macq is a co-founder of the TRAIL Institute (Trusted AI Lab). He has been a visiting professor at McGill University, Telecom Paris Tech, and MIT in Boston. Between 2009 and 2014, he served as the pro-rector of UCLouvain, where he developed the Louvain Technology Transfer Office and integrated service to society into academic pathways. Benoit Macq is the deputy director of the Technology and Society Class of the Royal Academy of Sciences of Belgium. Benoit Macq has supervised over 60 doctoral theses that have led to the creation of 11 spin-off companies and 9 international academic careers. His current research focuses on coalition learning for image-based decision-making systems. Websites: www.Pilab.be and www.trail.ac

IBA

	Kevin Souris - Founding member, researcher Senior software engineer at IBA since 2022, with over 10 years of experience in the field of radiation therapy. I completed a PhD in medical Physics and worked as a post-doc researcher at UCLouvain in Belgium. My research was dedicated to innovations in software and algorithms used for radiation therapy, and more specifically proton therapy. I have devloped the open-source Monte Carlo dose engine MCsquare, contributed to the Reggui research application, improved methods and tools for proton therapy treatment robustness and 4D evaluations, studied and developed novel optimization methods for advanced proton therapy planning and for adaptive therapy. I’m now working as a software engineer at IBA dosimetry. I have initiated and developed the OpenTPS project.
	Guillaume Janssens - Founding member, researcher Research Expert at IBA, with over 15 years of experience in the field of radiotherapy. I graduated at the UCLouvain in Belgium with a PhD in Electrical Engineering before working as post-doc in the radiotherapy department of the university hospital in Brussels. I joined IBA as research scientist in 2012. Since then, I worked on many research projects including prompt gamma imaging, image processing, motion management and proton arc therapy. I am the creator and main contributor of the OpenReggui open-source software. Since 2017, I am also teaching proton therapy at the university.
	Valentin Hamaide - Founding member, researcher Research engineer at IBA since 2022. Previously, I graduated in mathematical engineering at UCLouvain, Belgium, and completed a PhD on mathematical methods (optimization and machine learning) applied to proton therapy. I worked on research projects to improve the cost-effectiveness of PT via predictive maintenance techniques and automatic calibration of beamlines with optimization routines, 4D imaging, and treatment planning techniques. I have been actively involved in the development of OpenTPS, in particular, 4D treatment tools.
	Sylvain Deffet - Founding member, researcher Sylvain Deffet is a software developer - previously an academic researcher - with a heart deeply committed to the world of medical science and open-source initiatives.

University of Ljubljana

Luciano Rivetti - researcher
Luciano Rivetti is a PhD candidate at the University of Ljubljana’s Faculty of Mathematics and Physics, and a member of the RAPTOR project. Luciano’s expertise lies in applying physics and mathematics through programming to develop innovative tools for optimizing radiotherapy delivery. His goal is to enhance cancer treatment through cutting-edge probabilistic robust optimization methods that handle the probabilistic nature of radiotherapy uncertainties.

Past members

Wei Zhao - researcher
I studied Computer Science in Germany. After that I worked as a software engineer in German and Belgian companies and as a research assistant at Aalborg University in Denmark. I have been working at UCLouvain for several years on different projects. I am interested in data science, machine learning, and software development, especially the integration of AI in software for the medical field.