Pierre Del Moral
INRIA, Bordeaux Mathematical Institute,
Université de Bordeaux 1, France

  • INRIA Research Director

  • Professor, Applied Mathematical Center, Polytechnique Paris, France

  • Head of the Probab. and Stat. team of the Bordeaux Maths Institute, France


  • Associate Editor of Applied Mathematics and Optimization

  • Associate Editor of Revista de Matematica: Teoria y aplicaciones

  • Associate Editor of Stochastic Analysis and Applications

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    Mean field models and methods with application in Ecology and Biology
    comingsoon.

    CVSince 2007, Pierre Del Moral is a joint senior research fellow at INRIA, and at the Mathematical Institute in Bordeaux. In 2011, he also joined the Applied Mathematical Center of the Polytechnique School in Paris as a Professor "chargé de cours". After a masters degree in pure mathematics in 1989 in the University Paul Sabatier in Toulouse, a PhD in 1994 in signal processing with one of the first study on stochastic particle methods in nonlinear filtering and optimal control problems in 1995, he joined the C.N.R.S. as a junior research fellow in mathematics and physics at the Probability and Statistical department of the University Paul Sabatier in Toulouse, and he received in 2002 the higher degree of research (H.D.R.) in Mathematics. In 2004, he joined the Lab. J. A. Dieudonné of the University of Nice and Sophia-Antipolis as a full Professor of Mathematics in the field of Probability and stochastic processes. He has also been a visiting professor in the russian academy of sciences as well as in several international universities, including Beijing, Cambridge, Edmonton, Erlangen, La Havana, Helsinki, Melbourne, Montréal, Moscow, St Petersbourg, Sydney, Tokyo, Oxford, Princeton, Purdue, and Wuhan University.

    Dr. Del Moral is one of the principal designers of the modern and the recently developing theory on stochastic particle methods in nonlinear filtering, numerical physics, engineering and information theory. He has published over 100 papers in pure and applied probability journals, and he is the author of the book "Feynman-Kac formulae. Genealogical and interacting particle approximations", Springer New York, Series: Probability and Applications (2004). His current research interests are : bayesian inference and nonlinear filtering, multiple targets tracking problems, rare event analysis, calibration and uncertainty propagations in numerical codes, particle absorption models, Monte Carlo methods, stochastic algorithms, branching processes and interacting particle systems.

    http://www.math.u-bordeaux1.fr/~pdelmora/