Team | OpenTPS

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Core Team

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.

Valentine Dormal

Researcher

I graduated in Computer Science Engineering at UCLouvain in 2023. During my master I specialised 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.

Eliot Peeters

PhD Student, MIRO - UCLouvain

Graduated in Biomedical Engineering from UCLouvain. I am interested in the field of quantum physics and proton therapy. I am working on the OpenTPS project and its related developments.

Romain Schyns

PhD Student, MIRO - UCLouvain

Graduated in Biomedical Engineering from UCLouvain, I started my PhD at the MIRO laboratory. I have a strong interest in proton therapy and treatment planning. I am actively involved in development on OpenTPS

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.

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 spent 6 months at MIRO, working on photons-based dose calculation and treatment planning into OpenTPS. I also developed the 4D optimization. I am currently engaged in a PhD at UNIL.

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Contributors

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. I have initiated and developed the OpenTPS project and continue to contribute to its advancement.

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.

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 specialising in Arc Proton Therapy, and I have been actively involved in this field since 2020.

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 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 have been actively involved in the development of OpenTPS, in particular, 4D treatment tools.

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.

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). His current research focuses on coalition learning for image-based decision-making systems.

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 specialised 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.

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.

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.

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.

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.