TEACHING



COMPUTATIONAL STATISTICS


  • Project, PolyTech Sorbonne (2020-2021) . Supervising 4 bachelor students on the project: conditional simulation of Gaussian processes. Software: R, Rshiny.

  • Lectures, Mines ParisTech (2017 & 2021, 11h). Introduction to the simulation of random variables, master course.

  • Tutorials and practicals, ENSAI (2015-2018, 123h). Computational statistics, master course by Myriam Vimond. Software : R.



GEOSTATISTICS


  • Tutorials, Mines ParisTech (2018 & 2021, 4h). Non linear Geostatistics, master course by Nicolas Desassis.

  • Tutorials, Mines ParisTech (2017-2019, 42h). Linear Geostatistics, course by Gaëlle Le Loc’h within the CFSG specialized master in mining Geostatistics.



EXTREME VALUE THEORY


  • Practicals, Mines ParisTech (2018-2019, 12h). Extreme value theory, master course by Emilie Chautru and Hans Wackernagel (ATHENS week). Software: R.



DATA ANALYSIS & STATISTIC


  • Practicals, Mines ParisTech (2018-2019, 16h). Introduction to Statistics, course by Emilie Chautru within the MIRIS specialized master in mining industry. Softwares: R, JASP.