PhD and Engineer in
Computer Vision
&
Data Scientist
About Me
On a personal level:
My interest in new technologies, particularly in the fields of artificial intelligence, multimedia, robotics, and energy, is a natural extension of my professional background.
Outside of work, I’m passionate about board games, especially strategy games (with or without hidden roles) and management games.
I also enjoy reading in all its forms: graphic novels, manga, and literature, with a particular fondness for science fiction.
I'm also interested in indie video games, chess, and cinema.
I’ve been fortunate to travel extensively throughout my life, an activity I truly enjoy.
Originally from Béthune, in the Pas-de-Calais region, I’ve had the opportunity to live in several French cities, including Lille, Metz, Strasbourg, and now Clermont-Ferrand.
In addition to visiting many European countries, I’ve also had the chance to pursue both academic and professional experiences in Japan: in Yokohama, Fukuoka, and Tsukuba, which sparked a deep affection for the country and its culture.
I am also an avid hiker and racket sports enthusiast.
On a professional level:
Senior PhD and engineer and technical manager specializing in computer vision and data science. I lead strategic
projects at the intersection of AI, medical software, and cloud computing. My role spans operational
leadership, software development, scientific research, and regulatory compliance. I act as a bridge
between clinical needs, technical requirements, and software quality standards.
I currently work in Clermont-Ferrand as a Data Science Technical Manager at SURGAR, a company developing augmented reality solutions for computer-assisted surgery.
In this role, I oversee the technical design and implementation of a data collection and annotation pipeline, connecting partner hospitals to the company’s cloud infrastructure.
I also manage the software integration of neural networks initially developed by the research team, and I contribute my expertise in computer vision and machine learning to various research and development projects.
This position has given me solid knowledge of the medical software sector, particularly with regard to its legal and regulatory requirements.
About Me
When working in a team:
I thrive in collaborative environments, whether as a team member or a manager. I particularly value working with diverse profiles, where a variety of perspectives helps foster deeper insight and a more well-rounded understanding of a project’s challenges.
Comfortable with scientific topics, I enjoy acting as a bridge between technical, development, and communication teams.
I'm passionate about science communication: I always strive to be both clear and patient, whether in a professional setting or during more informal discussions.
In my free time, I often find myself getting carried away in lively conversations about various technologies, how they work or the history behind them.
Curious, versatile, and proactive, I fully commit to the projects I’m involved in.
I also place great importance on the human side of teamwork, and I often enjoy spending time with my colleagues outside of work.
Work
Experience
2021-2025 - SURGAR - Data Science Manager Clermont-Ferrand
Design and implementation of a data collection pipeline enabling data transfer from partner hospitals to the company’s cloud
platform.
Project lead for the development of surgical video anonymization and metadata addition software, developed in C++/Qt.
PProject lead for the development of a web server for communication between applications and temporary data storage, developed in Python/Flask
Project lead for the development of data access software for medical personnel and researchers who need to request this
data, developed in PHP/Symfony.
Designed and implemented the Google Cloud Platform infrastructure for the data pipeline and final data storage,
including deployment of related applications.
Participation in the deployment, maintenance, and monitoring of a software solution for annotating medical data on the Google Cloud Platform infrastructure.
Design of a Python template for integrating artificial neural networks used in the medical devices developed by the company,
their training, and evaluation.
Scientific watch associated with advances in the field of artificial intelligence and its use within medical devices.
Writing procedures and support documents related to the company’s Data Science activity in order to comply with the ISO 62304 and 13485 standards.
Supervision of various research projects associated with the development of artificial neural networks to be used in the company's current and future software.
Detection and segmentation of anatomical structures of the uterus.
Classification of identifying images in surgical videos.
Detection of peritoneal cancer lesions in laparoscopic images.
Analysis and Detection of Data Clusters in Videos.
Scientific watch associated with advances in the field of artificial intelligence and its use within medical devices.
Participation in the implementation of the cybersecurity strategy for the company and its software.
2020-2021 - SURGAR - R&D Engineer Clermont-Ferrand
Participation in the development of augmented reality software for computer-assisted laparoscopic gynaecological surgery.
Participation in writing procedures and support documents related to the Design and Development activities of the company
in order to comply with the ISO 62304 and 13485 standards.
2016-2020 - EnCoV and IHU Strasbourg - PhD Student Clermont-Ferrand and Strasbourg
Doctoral thesis: “Deformable registration, datasets, and evaluation protocols for augmented minimally invasive abdominal
surgery,” which led to several contributions.
The development of a deformable registration solution modeling the mechanical properties and behavior of anatomical
structures, applied to liver alignment for augmented reality.
The adaptation of this solution for the registration of a patient-specific abdominal model positioned on an operating
table.
The development of a C++ library to generalize the registration method for various situations, with selectable constraints to be considered.
The participation in the integration of these solutions into research prototypes used by IHU Strasbourg.
The development of a surface reconstruction method for laparoscopic surgery using Multi-View Stereo with photometric
constraints.
The creation of various datasets and associated evaluation protocols for evaluation and benchmarking.
2016 - Devatics - R&D Engineer Toulouse
Development of a web-based platform for analyzing user behavior on e-commerce websites.
2015 - CNRS-AIST-JRL - Intern in Computer Vision Tsukuba
Used an RGB-D camera to detect and estimate the poses of reflective surfaces in images, and leveraged this information to infer the pose of the humanoid robot carrying the camera.
2014 - IRIT - Intern in Computer Vision Toulouse
Development of a system based on stereo-photometry used to obtain 3D reconstruction of an object placed in front of a computer by using the computer screen as a controlled light source.
Education
2016-2020
Clermont Auvergne University, PhD in Computer Vision: Deformable registration, datasets, and evaluation protocols for augmented minimally invasive abdominal surgery, Clermont-Ferrand, France
2012-2015
INP ENSEEIHT, Engineering degree in Computer Science and Applied Mathematics, specializing in Multimedia, Toulouse, France
2014-2015
Paul Sabatier University, Master IACI : Master of Research in Artificial Intelligence, Toulouse, France
2009-2012
Fabert High School, Preparatory classes for admission to engineering schools (MPSI/MP*), Metz, France
2008-2009
USTL, First year of Biology Bachelor's degree, Lille, France
2008
Carnot High School, High School Diploma in Sciences, Bruay-Labuissière, France
Publications
Recalage déformable, jeux de données et protocoles d'évaluation pour la chirurgie mini-invasive abdominale augmentée
R Modrzejewski
Université Clermont Auvergne (Thèse de doctorat), 2020.
Light modelling and calibration in laparoscopy
R Modrzejewski, T Collins, A Hostettler, J Marescaux, A Bartoli
International journal of computer assisted radiology and surgery, 2020, vol. 15, no 5, p. 859-866.
An in vivo porcine dataset and evaluation methodology to measure soft-body laparoscopic liver registration accuracy with an extended algorithm that handles collisions
R Modrzejewski, T Collins, B Seeliger, A Bartoli, A Hostettler, J Marescaux
International journal of computer assisted radiology and surgery, 2019, vol. 14, no 7, p. 1237-1245.
Soft-body registration of pre-operative 3d models to intra-operative RGBD partial body scans
R Modrzejewski, T Collins, A Bartoli, A Hostettler, J Marescaux
Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2018. p. 39-46.
Automatic verification of laparoscopic 3d reconstructions with stereo cross-validation
R Modrzejewski, T Collins, A Bartoli, A Hostettler, J Marescaux
Surgetica, 2017.
A full photometric and geometric model for attached webcam/matte screen devices
Y Quéau, R Modrzejewski, P Gurdjos, JD Durou
Signal Processing: Image Communication, 2016, vol. 40, p. 65-81.
Transformation d'un dispositif multimédia webcam-écran en un scanner 3D
Y Quéau, R Modrzejewski, P Gurdjos, JD Durou
COmpression et REprésentation des Signaux Audiovisuels (CORESA), 2014.
Contact
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Bureau B264
Turing 22
22 All. Alan Turing
63000 Clermont Ferrand