My main research interest is to better understand pollutant atmospheric transport and turbulent mixing  as well as direct applications such as accurate (GHG and other pollutants) emissions quantification, air  quality and toxic exposure that have an impact on mankind’s quality of life, health and the  environment. I use computational models (LES, LPDM, RANS), experimental measurements and  model-data fusion statistical techniques to achieve a better understanding of the processes and their  representation in the models to try to improve upon them. I am also interested in experimental design  and new measurements techniques and strategies that have the potential to improve our understanding  of transport and mixing processes in the atmosphere and, in particular, emissions quantification as well  as computational techniques that allow for increased code efficiency and parallelization.