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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 |