I always keep an older picture, to fit with other researchers!
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.
My research using Machine Learning is mainly focus around geoscience and how to use such ML framework in unconventional context.
My research in geostatistics mainly focuses on statistical simulations. More precisely, to develop new algorithms in Multiple Point Statistics (MPS) and Machine Leraning to generate complex structure.
Remote sensing had a huge impact on my career and remains important to me. Currently, most of my research in remote sensing is done through collaborations on different projects from Vegetation evolution (Vietnam and Valais), growing season, frozen lakes and even NPP (net primary productivity) evolution in ocean. Currently, most of hese studies are done on online platforms such as Google Earth Engine, which enable studies through a gigantic amount of data.
I put particular importance on investigation cutting-edge solutions, from both a technological as well as algorithmic point of view. Most applications of these solutions are done through collaborations.
Furthermore, I put particular effort and time into allowing the results of various studies to be available to the community though functional, open and easy-to-use software or library.
The time may not be very remote when it will be understood that for complete initiation as an efficient citizen of one of the new great complex world wide states that are now developing, it is as necessary to be able to compute, to think in averages and maxima and minima, as it is now to be able to read and to write.