Nicolas Cellier

Postdoct working in the Alps, mostly doing numerical support for the research. Specialized into PDE solving, I also have a strong numerical analysis background, and can use stat and machine learning tools.
I mainly do Python (for the last 8 years), but I can switch on other tool if I need to : lower level language as C or Fortran, or specialized one like R and Julia.


Twitter handle Homepage Git*hub|lab

https://gitlab.com/celliern

Institute / Company

Université Grenoble - Alpes


Sessions

09-04
08:25
90min
scikit-fdiff, a new tool for PDE solving
Nicolas Cellier

Scikit-fdiff (formally Triflow) has been developed in order to facilitate mathematic models building. It has been made to quickly build and try many asymptotic falling film modelling with different phenomena coupling (energy and mass transfer).

Posters at 16:00