People

Matthieu Darcy

Research Scientist, New York, NY

Matthieu is a research scientist at Basis. Prior to joinning Basis, he obtained hi PhD at Caltech where he worked on computational methods for partial differential equations, physics informed machine learning, operator learning, and Gaussian processes.

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Education

PhD, Computing and Mathematical Sciences
California Institute of Technology
Master MVA
ENS Paris-Saclay
MSc, Applied Mathematics
Imperial College London
BA, Mathematics and Philosophy
King's College London

About

I am a research scientist at Basis. I am interested in probabilistic methods for machine learning, in particular to their application to complex physical and dynamical systems. I have worked on applications of Gaussian processes to PDEs and SPDEs, where I developed principled approaches to learning and solving differential equations. I am more broadly interested in generative models, probabilistic machine learning and unceratinty quantification, and especially in their application to physical systems.