David Ginsbourger

Biographical sketch:

I am a senior assistant in the Department of Mathematics and Statistics at the University of Bern. I obtained my BSc (2002) in Mathematics at the University of Grenoble, a dual graduate diploma in Engineering (2005) delivered by the Ecole des Mines de Saint Etienne and Berlin Technical University, and my MSc (2005) and PhD (2009) in Applied Mathematics at the Ecole des Mines de Saint-Etienne.

From 2008, I worked as an assistant and a postdoctoral research associate, respectively in the Department of Mathematics and the Department of Hydrogeology, University of Neuchâtel, before starting with my habilitation at the University of Bern in 2010.

The main focus of my research is Kriging-based adaptive design of computer experiments, in particular for global optimization and related topics, including inversion and probability of failure estimation. My further research interests include covariance parameter estimation, kernel and trend selection, as well as connections between Kriging and functional analysis approaches from the RKHS theory.

I am currently actively contributing to the ENSEMBLE project (co-PI with Philippe Renard, Jef Caers, Ivan Lunati, Niklas Linde, Peter Huggenberger, and Peter Bayer) to the ReDICE consortium (Scientific coordination), and to a Swiss National Science Fundation project on Bayesian Set Estimation (co-PI with Ilya Molchanov). Also, I serve as Associate Editor of the Journal of Statistical Computation and Simulation.