Stanford Mechanics and Computation

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Curriculum Vitae of Eric F. Darve (Sep. 2009)

Academic History

1999   Ph.D. in Applied Mathematics, Jacques-Louis Lions Laboratory, Pierre et Marie Curie University, Paris Advisor: Olivier Pironneau
Topic: Fast Multipole Methods for Integral Equations in Acoustics and Electromagnetics Received with Honors
Description of work: prior to the development of the fast multipole method, most acoustic and electromagnetic numerical solvers had a computational complexity of O(N^3) or O(N^2) where N is the number of degrees of freedom used in the discretization. The fast multipole method allows reducing this cost to O(N ln N) in the high-frequency regime. This allows solving with great accuracy very large problems involving up to hundreds of wavelengths.
1995   Diplôme d’Etudes Approfondies (MSc) in Mathematics, Paris-Dauphine University, Paris
Received with Honors
1994   Admission to Ecole Normale Supérieure, 45 rue d’Ulm, Paris
Major: Mathematics and Computer Science
Ranking at the entrance exam: 17th. Also admitted to Ecole Polytechnique, Paris

Employment Record

2010-present   Associate Professor in the Mechanical Engineering Department, Stanford
2005-2010   Tenure line reappointment as Assistant Professor in the Mechanical Engineering Department, Stanford
2001   Member of the Institute for Computational and Mathematical Engineering, Stanford
2001-2005   Assistant Professor in the Mechanical Engineering Department, Stanford
1999-2001   Post-doctoral position in the Center for Turbulence Research, Stanford, and the Exobiology Branch at NASA Ames Research Center, CA, under the supervision of Prof. P. Moin (Stanford) and Prof. A. Pohorille (University of California San Francisco)
Description of work: one of the main limitations of Molecular Dynamics simulations of proteins and biological macro-molecules is the presence of many time scales from femto-second to milli-second. This severely impedes the ability to calculate quantities of interest such as the free energy. A numerical method was created to compute the free energy, called the Adaptive Biasing Force, which was shown to be optimal in terms of computational efficiency while being much simpler to implement and apply than previous techniques.
1995-1996   Internship at George Mason University, VA, with Prof. R. Löhner
Topic: finite-element code for electromagnetics