Claire Lansonneur

Research Engineer @CNRS

Paris, FR
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2020 — Present

Research Engineer @CNRS

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Paris, FR

Designed and led practical, hands-on course on data integration in single-cell multi-omics data and coding sessions. The course is part of the CNRS Workshop on Single-cell transcriptomics and epigenomics (SincellTE 2020).

EDUCATION

2013 — 2017

McGill University

Bachelor of Science (B.Sc.), Biology, General

N/A

Ecole normale supérieure

Master of Science - MS, Systems Biology, Genomics and Bioinformatics

N/A

Ecole normale supérieure

Doctor of Philosophy - PhD, Computational Biology

2010 — 2013

LYCEE FRANCAIS DE SINGAPOUR

French Baccalaureate, Scientific stream

ABOUT CLAIRE LANSONNEUR

Seeking opportunities in AI / TechBio / Health startups or R&D at companies.Passionate about prevention and precision health. I recently defended my PhD in Computational Biology at ENS (France, 2025), where I applied & developed ML tools to study neuroimmunology. I’ve always been curious about the brain and I’ve explored that from a molecular, systems, and AI-driven perspective. To conduct my research, I established a collaboration between two leading labs from different fields (ML and neurobiology). I\'m passionate about building the future of precision health by combining AI with biological insight.Before my PhD, I spent 2 years in the Asian industry (Consulting @ Capgemini, Project Manager @ biomedical oncology startup). That experience shaped my belief that scientific breakthroughs should translate into real-world solutions. I pursued a PhD to deepen my technical expertise, and I\'m now returning to industry with a strong foundation in both science and strategy. Trilingual. French & Taiwanese Citizenships + Singapore Permanent Resident. Lived in Singapore, Canada, France, Australia. TECHNICAL & RESEARCH EXPERTISEPhD (Ecole Normale Supérieure, France): I developed a graph-based computational approach to study how the brain\'s immune cells (microglia) drive development and neurodegeneration. This interdisciplinary work involved advanced machine learning methods applied to large-scale omics datasets. I published and earned funding (Fondation pour la Recherche Médicale). LEADERSHIP & TEACHING3+ years teaching university-level courses in Bioinformatics and Data Science. I\'m passionate about sharing knowledge and empowering the next generation of scientists. I communicate complex topics to diverse audiences (from conferences to explaining AI solutions to non-technical stakeholders). I also held leadership roles in student organizations. FROM RESEARCH TO REAL-WORLD IMPACTI’ve seen both sides: the scientific rigor of academia and the fast pace of startups. That 360° view helps me bridge deep tech with real-world needs, ensuring that breakthroughs don’t stay on paper but become life-changing technologies.I bring together strong scientific training, global experience in interdisciplinary and fast-moving teams, and systems-thinking. Moving easily between technical depth and high-level strategy, looking to learn more!(and yes, I read scientific papers for fun).

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Claire Lansonneur — Research Engineer at CNRS in Paris, FR | Unifers