Etienne Dumoulin

I work at the intersection of machine learning and biology, designing AI systems that help scientists uncover new biological insights and accelerate drug discovery. Over the past 10 years, I have built scalable ML pipelines and R&D platforms for imaging, omics integration, and generative chemistry — systems that are used in production and have shaped real programs. I enjoy translating complex models into practical workflows that biologists can use and trust. My focus is twofold: Platform & Strategy: building the infrastructure and methods that make discovery faster, more reproducible, and scientifically meaningful. Cross-disciplinary translation: helping biologists understand what AI can truly do for them — and helping AI researchers understand where biology resists oversimplification. I bring the curiosity of a researcher, the clarity of a strategist, and the pragmatism of a practitioner. I have worked exclusively in English-speaking environments and thrive in international, interdisciplinary teams. In 2025, I launched BioUnfold, a series exploring how AI can genuinely advance biology and drug discovery — from data to design. BioUnfold is grounded in real experience, not hype. Focus areas: • High-content imaging analysis • Multi-omics integration (transcriptomics, genomics, proteomics) • Generative chemistry • ML platform architecture and strategy • Cross-functional team leadership and mentorship What I value: deep where I know, exploratory where I do not, generous everywhere.