Summary
Jessica Dafflon is a Senior Machine Learning Research Scientist with 11 years of experience at the intersection of ML, neuroimaging, and biology, holding a PhD in neuroimaging from King’s College London. She has transitioned research-grade generative vision models developed at the NIMH into language-based generative approaches for drug discovery at industry labs, combining deep domain knowledge in medical imaging with practical ML engineering. Based in London, she currently contributes to cutting-edge ML research at Valence Labs and Recursion, applying generative models to real-world biomedical problems. Her background includes large-scale brain simulation work during a Google Summer of Code project and mentoring data science fellows, demonstrating both technical depth and a commitment to knowledge transfer. Notably, she blends rigorous academic training with product-minded experimentation, making her adept at moving models from hypothesis to experimental validation in healthcare settings.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Neuroscience, Master of Science (M.Sc.), Neuroscience at Eidgenössische Technische Hochschule Zürich
Doctor of Philosophy (PhD), Neuroimaging, Doctor of Philosophy (PhD), Neuroimaging at King's College London
English, Italian, German, Portuguese, Swedish