Grenoble, Auvergne-Rhône-Alpes, France
🩸 I’m building a blood-based cancer screening and MRD platform combining whole-genome methylation sequencing and AI-driven methylome analysis, with the ambition to make cancer detection earlier, simpler, and scalable. 📊 I’m a long-time researcher in biomedical data science, working at the intersection of oncology, genomics, and AI, and I’m now translating this expertise into real-world clinical impact through entrepreneurship. 🤝 Always happy to connect with clinicians, researchers, biotech innovators, and investors shaping the future of cancer diagnostics.
CSO at Aíma, leading the scientific and technical development of Aíma's circulating tumoral DNA detection platform.
- Scientific and technical advisory - Management of scientific and clinical projects - Technology scouting and competitive intelligence - Data analysis, visualization, and reporting - Drafting of scientific and technical documents (e.g. white papers, peer-reviewed articles)
Lead research projects - Polygenic risk score evaluation - Machine learning methods to detect cancer with non-invasive techniques
- Lead the research strategy - Lead and design the clinical study to evaluate an oncology biomarker - Manage the scientific team - Lead patent and publication strategy - Interact with key stakeholders (pharma, principal investigators) for clinical projects - Provide scientific materials for marketing purposes (white papers, use cases,...)
- Lead a team that proposes solutions to optimize clinical trials with AI and Real World Data. - Structure the product to provide real world evidence to pharma for their clinical trials. - Interact with regulatory bodies, drug development experts and medical researchers to make optimal use of Real World Data.
- Manage and execute data science projects for pharmaceutical companies and research medical centers. Projects concerned subgroup analysis based on clinical trial data, adaptive clinical trials, and deep learning analysis with imaging data.