Eric Darve

Eric Darve is the Director of the Institute for Computational and Mathematical Engineering (ICME) and a Professor of Mechanical Engineering at Stanford University. His research interests include machine learning for science and engineering, large-language models, transformer models, surrogate and reduced order modeling, stochastic inversion, anomaly detection, numerical linear algebra, high-performance, parallel, and GPU computing. Darve received his Ph.D. in Applied Mathematics from Paris VI University, Paris, France, and joined Stanford University in 2001 after postdoctoral work at Stanford and NASA Ames. He is a member of the ICME and has received several awards, including the H. Julian Allen Award, NASA (2010), the Habilitation à Diriger des Recherches, France (2007), the Leslie Fox Prize in Numerical Analysis, IMA (2001), and the James H. Clark Faculty Scholar, Stanford University (2001).

Eric Darve is a computational mathematician at Stanford University with expertise in Numerical Linear Algebra, Parallel Computing, and Machine Learning. His research focuses on developing efficient numerical methods for solving complex scientific problems, including free energy calculations, fast multipole methods, and mesh-based PDE solvers. Darve's work emphasizes the integration of computational techniques with physical modeling to enhance accuracy and performance in simulations. He has contributed significantly to the development of algorithms for large-scale scientific computations and has explored the application of machine learning to derive constitutive relations from indirect observations.