My research mainly deals with geostatistics: development of new simulation methods and inverse problems in hydrogeology for uncertainty assessment. In particular, I focus on new Multiple-Point Statistics (MPS) algorithms. MPS allows to generate complex heterogeneous fields in a stochastic framework by integrating a conceptual model (training image). This is a crucial issue in geostatistical simulations because the spatial features of geological structures have a deep impact on the dynamic processes (flow / transport).

Impala and DeeSse are two Multiple-Point Statistics Softwares developed in the Stochastic Hydrogeology Group.

• Impala : written in C, serial version and parallel versions: OpenMP (for shared memory machines) / MPI (for distributed memory machines (HPC cluster))
• DeeSse : written in C, serial version and parallel versions: OpenMP (for shared memory machines) / CUDA (for shared memory machines equipped with GPUs)

Education 

• 2007 - Doctorat ès Sciences (PhD.), Université de Neuchâtel (mathématiques appliquées)
• 2002 - Diplôme de mathématicien (MSc.), Université de Neuchâtel

Positions held

• 2017 - now  - Collaborateur scientifique, chargé d'enseignement au Centre d'Hydrogéologie et de Géothermie (CHYN), Université de Neuchâtel, Switzerland
• 2009 - 2017 - Maître-assistant (Senior Lecturer) au Centre d'Hydrogéologie et de Géothermie (CHYN), Université de Neuchâtel, Switzerland
• 2007 - 2009 - Postdoc au Centre d'Hydrogéologie et de Géothermie (CHYN), Université de Neuchâtel, Switzerland
• 2002 - 2007 - Assistant-doctorant (PhD student) à l'institut de mathématiques, Université de Neuchâtel, Switzerland
• 2001 - 2002 - Assistant (non diplômé) à l'institut de mathématiques, Université de Neuchâtel, Switzerland

Publications 

• Selected pulications: link / pdf / google scholar / orcid