Freelancer profile translated to English.
Back to original languageAbout Xavier
PhD with more than 10 years of R&D experience in pharmaceutical research, in an international context.
Technical expert in medical imaging, scientific computing and data science.
Passionate about multi-disciplinary research, I will be able to bring my vision, create innovative and pragmatic solutions, and collaborate within your teams.
English
Native or bilingual
French
Native or bilingual
Swedish
Conversational
Can work on-site
Dijon (up to 50km), Paris (up to 15km), Lyon (up to 30km), Strasbourg (up to 15km)
Experience
- xvrtznFreelance data scientist, Pharma/Life Sciences/BiomedicalCONSULTING AND AUDITSApril 2018 - Today (8 years and 2 months)Dijon, FranceResearch and development:
- (2021-2022) Analysis, visualization and reporting of data in preclinical oncology
- (2022) Classification of retinal images by Deep Learning - integration into an innovative medical device
- (2020-2021) Detection and classification by Deep Learning on a massive dataset of dental X-ray imaging
- (2020) Statistical equivalence analysis for the development of a new biological test
- (2019) PET imaging modeling for radiotherapy treatment planning of patients with brain cancer
- (2018) ML prediction of side effects of patients eligible for refractive surgery
Scientific writing:- (2021) Participation in the writing of a European funding file for the explainability of AI in satellite imaging
- (2019-2020) Writing of the scientific part of CIR (Research Tax Credit) file – Computer vision, 3D, pharma
Education:- (2018-) Mentor, "Data scientist" and "Machine learning engineer" courses, OpenClassrooms
- (2020) Review and mentoring, "Deep Learning in medical imaging" course (Manning publishing)
- (2018) Preparation of a training program on the theme of machine learning and data science curriculum (banking sector)
- InFocus TherapeuticsScientific advisor - Data science and Machine learningBIOTECHFebruary 2024 - September 2024 (7 months)21000 Dijon, France
- Technical, scientific and strategic consultant in the context of a startup in drug discovery
- Proofs of concept of Machine Learning / Deep Learning tools to assist decision-making in the early phases of pharmaceutical research (predictive modeling, analysis of high-dimensional heterogeneous biological data, use of large language models to analyze scientific literature…)
- Quinten HealthSenior Data ScientistPHARMACEUTICALS INDUSTRYJune 2023 - January 2024 (7 months)Paris, FranceParticipation in 3 client projects (data scientist responsible for the dedicated project team):
- "Efficacy to effectiveness" - Projection of efficacy data from randomized clinical trials onto real-world patient databases to assess the potential effectiveness of innovative therapeutic approaches
- Optimization of the treatment regimen in the context of a chronic disease - Modeling the risk of adverse events during the follow-up of patients in the maintenance therapy phase
- Transportability of follow-up criteria - Analysis of substitution of time-event variables in clinical trials
R&D - Evaluation of an external open-source tool for modeling temporal biomarker dataEvaluation of the internal training program for data scientists - proposals for improvements
Reviews
Ghislain
SPARKMATE FRANCE
Reviewed on 1/15/2021
Always excellent collaboration with Xavier. His pragmatism and his ability to communicate and popularize the field of machine learning / deep learning are a real plus!
Ghislain
SPARKMATE FRANCE
Reviewed on 12/20/2020
Very good experience with Xavier on a complex research project. Effective communication and organization, pragmatic approach that allowed us to move forward effectively on our project!
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Education
- PhD, medical image analysisSLU (Uppsala, Suède)2004Titre de la thèse : Algorithms for the analysis of 3D magnetic resonance angiography images
- Engineer, specialization "biomedical applications"ENSPS (Sup télécom Strasbourg)1996
Certifications
- Deep Learning SpecializationCoursera2018
- Machine Learning (Stanford University)Coursera2017