About Olivier
I am a bioinformatics expert with a PhD in human genetics and extensive experience in genomic data analysis, algorithm development, and precision medicine applications. My expertise spans polygenic risk scores (PRS), pharmacogenomics (PGx), whole exome sequencing (WES), and whole genome sequencing (WGS) analysis.
With a background in computational genomics and software development, I specialize in building robust bioinformatics pipelines, integrating AI-driven analytics, and translating genomic insights into actionable clinical recommendations. I have led bioinformatics teams in industry, developed novel statistical methods for complex trait analysis, and collaborated on cutting-edge research in genomics and cardiovascular risk prediction.
English
Native or bilingual
French
Native or bilingual
Can work on-site
Lausanne (up to 50km)
Experience
- Centre Hospitalier Universitaire Vaudois (CHUV), Personalized Medicine UnitEntrepreneur in Personalized MedicineSeptember 2024 - Today (1 year and 9 months)Lausanne, Switzerland○ Initiated and led a startup project integrating genomic medicine into routine clinical care, focusing on multi-modal data integration, predictive analytics, patient stratification, and indication selection for cardiovascular disease (CVD)○ Led a multidisciplinary team of scientists and medical professionals, collaboratively developing business proposals and pitching to stakeholders
- SUN Bioscience/Doppl SASenior Bioinformatician LeadJanuary 2022 - September 2024 (2 years and 8 months)Lausanne, SwitzerlandSoftware Engineering:○ Designed, in collaboration with scientists, image analysis pipelines for organoid-derived data.○ Containerized these pipelines and integrated them into a CI/CD framework using GitLab to ensure production readiness and reproducibility.○ Engineered the central software platform to manage experiments, run image analysis pipelines, and enable exploration of results.○ Designed and implemented the Doppl database and API. Bioinformatics:○ Designed and implemented the core statistical framework for the assay catalog.○ Developed and executed transcriptomics pipelines to characterize organoid biobanks. Leadership: Recruited and trained bioinformaticians.
- Stanford, Pritchard LabVisiting ResearcherJune 2019 - December 2019 (6 months)Stanford, CA, USA○ Received an SNSF Doc.Mobility 4. Investigated the role of cellular resource competition to explain the omnigenic architecture of complex phenotypes using applied mathematics
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Education
- PhD Biotechnology and Bioengineering/Bioinformatics,École polytechnique Fédérale de Lausanne2021PhD Biotechnology and Bioengineering/Bioinformatics,
- Master of ScienceUniversité Paul Sabatier2016M.Sc II Systems Biology,