Kilian Fatras is a Senior ML Research Scientist with nine years of experience specializing in generative models for protein design, combining deep expertise in flow matching, optimal transport, and diffusion architectures. He has led foundational work on protein backbone and structure models—publishing at ICLR and NeurIPS—and scaled large language and diffusion models with HPC and algorithmic optimizations to accelerate real-world design cycles. As a founding research scientist at DreamFold and now leading modeling efforts at EvolutionaryScale, he tightly integrates wet‑lab feedback to close the loop between computation and experiment. His open-source contributions include TorchCFM (1500+ stars), and his PhD work helped advance the Python Optimal Transport ecosystem, reflecting a strong commitment to community tools. Based in New York, he blends rigorous academic training from Berkeley and INRIA with startup execution, routinely onboarding teams and shaping research culture. A less obvious strength is his fluency translating theoretical advances in optimal transport into practical, high‑throughput ML systems for protein engineering.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Machine learning, Master's degree, Machine learning at University of California, Berkeley
Bachelor's degree, Strengthened mathematics, Bien, Bachelor's degree, Strengthened mathematics, Bien at Université de Bretagne Occidentale
Master of Engineering - MEng, Data sciences, applied mathematics and computer science, Master of Engineering - MEng, Data sciences, applied mathematics and computer science at ENSTA Paris
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Kilian Fatras - Senior ML Research Scientist at EvolutionaryScale