Curriculum vitae
Please find my curriculum vitae (short versions):
Last update: 25/10/2026
Profile
R&D Engineer & Computer Science Ph.D. specializing in Deep Learning and computer vision in medical imaging.
Combining expertise in research, engineering, and Agile methodologies, I design and conduct deep learning, modeling, and simulation projects.
Education
- 2020-2023 Doctoral degree in Computer Science at Université Grenoble-Alpes (France)
- Thesis title: Learning scoliosis patterns using anatomical models and motion capture
- 2013-2016 Engineer’s degree in Bioinformatics and modelling at Insa Lyon (France)
- 2010-2013 Bachelor’s degree in Biology, Bioinformatics at Université de Lyon (France)
Experience
- 2025-2026 R&D engineer at Circle Dental (France)
- 2024-2025 R&D engineer at Anatoscope for Circle Dental (France)
- Designed, trained, and deployed deep learning models for automated analysis of 3D intraoral scans (IOS)
- Maintained continuous technology watch, designed architectures, and selected implementation methods
- Built and deployed end-to-end MLOps pipelines for automated model retraining and deployment
- Implemented CI/CD workflows for ML models and performed code reviews, preventing regressions and ensuring code quality
- Optimized 3D data pipelines for commercial software integration
- Acted as Agile facilitator and developer, handling task breakdown, value assignment, and prioritization
- 2019-2023 R&D engineer, Ph.D student at Anatoscope, Inria team Morpheo (France)
- Ph.D project (CIFRE) between Anatoscope, Inria team Morpheo and Grenoble Hospital. More details in the page PhD. I’ve also been involved in industrial projects.
- Industrial R&D: conducted joint research on medical image processing, 3D anatomical modeling, and simulation of scoliotic spines
- Algorithm design: developed novel machine learning methods integrating motion capture data into 3D structural spine models
- Impact & awards: published research (see Publications) and won the Best Poster Award in AI for Biomedical Imaging (IABM 2023)
- 2016-2018 Software engineer at Inria team Beagle (France)
- Engineered and implemented fast, open-source C++/Python scientific applications for molecular phylogeny: Treerecs and Seaview 5.0 (> 300 citations)
- Co-supervision of 2 interns (engineering school and BTS vocational degree on Programming)
- Teaching C++ programming at Insa Lyon (48h)
- 2015-2016 Internships (France)
- Summer 2016 Modeling and C++ programming for the Aevol plateform at Inria, team Beagle
- Summer 2015 Statistics and R programming at Soladis
- 2014 iGEM international competition, team Curly’On INSA Lyon
- Details of the project here
- We won two awards: the Gold Medal and Best Composite Part
Skills
- Machine learning: deep learning, computer vision, 3D mesh processing, 2D/3D medical imaging analysis, motion capture (Mocap), model architecture design
- MLOps & engineering practices: end-to-end ML pipelines, automated model retraining and deployment, CI/CD for ML models, code review, Git, Agile methodology
- Programming: Python, C++, C
- Frameworks & tools: PyTorch, Scikit-learn, Sofa (simulation), R, Matlab
- Domain expertise: medical imaging, 3D anatomical modeling, digital twins, simulation, artificial life
- Communication: LaTeX, Markdown, HTML, Gimp, Krita, Inkscape, RevealJS
- Languages: French (native), English (C1)
Publications
- List of my contributions here:
or here
Awards
- 2023: Best Poster in artificial intelligence applied in biomedical imaging at IABM 2023, the national symposium in AI applied in medical imaging (Colloque National en Intelligence Artificielle en Imagerie Biomédicale)
- 2014: Gold Medal and Best Composite Part for our team Curly’On at the iGEM competition 2014, International Genetically Engineered Machine competition (Synthetic Biology)
Teaching
- 2017-2018 C++ programming, INSA Lyon, Biosciences department
Scientific mediation
- 2017-2019 Member of the French public outreach and science communication association DéMesures
- Animation in science popularization events: Geek Touch 2018, Fête de la Science 2017, 2018;
- Illustration for articles and posters
- Articles reviews
- Organization and mediation for Artscience 2018
, 
various side projects in simulation and artificial life