Senior Staff Scientist Machine Learning at Lawrence Livermore National Laboratory
Livermore, California, United States
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Mikel Landajuela is a Senior Staff Scientist in Machine Learning at Lawrence Livermore National Laboratory with nine years of experience bridging computational mathematics and AI for high-impact scientific applications. He holds a PhD in Computational and Applied Mathematics and has advanced from postdoc work in computational cardiology and reinforcement learning for discrete optimization to principal research roles applying ML to large-scale modeling problems. His background in numerical methods, fluid-structure interaction and electromechanical heart modeling gives him uncommon depth in physics-informed ML and scientific computing. Based in Livermore, CA, he combines rigorous academic training from institutions across Europe with hands-on deployment of data-driven algorithms in national laboratory settings. Colleagues know him for translating complex PDE-based problems into tractable ML solutions and for pairing theoretical insight with production-focused experimentation.
8 years of coding experience
6 years of employment as a software developer
European Exchange Program, Master program in Scientific Computing, European Exchange Program, Master program in Scientific Computing at Utrecht University
Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics, Mention très honorable, Doctor of Philosophy (Ph.D.), Computational and Applied Mathematics, Mention très honorable at Pierre and Marie Curie University
B.S. and M.S, Applied Mathematics, Premio extraordinario de carrera, B.S. and M.S, Applied Mathematics, Premio extraordinario de carrera at Universidad del País Vasco/Euskal Herriko Unibertsitatea
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Mikel Landajuela - Senior Staff Scientist Machine Learning at Lawrence Livermore National Laboratory