Isabelle Sanchez - Statistician Engineer
I am a statistician engineer at INRAE in MISTEA lab.
I analyze data of alcoholic fermentations, phenotyping (plants, animals), survey etc… and develop R packages and web applications.
Contact information
UMR Mistea, building 21 3rd floor, office 303, 2 place Pierre Viala, 34060 Montpellier Cedex 2, France
Isabelle.Sanchez at inrae.fr / +33 (0)4 99 61 31 95
Projects Phenome, EPPN2020, COEX, Starwine, TechCare, Vinid’Occ
- Detection of outliers (on spatial data, on temporal data, impulsed noised outliers …)
- Biclustering on survey data
- Spatial clustering on survey data
- GAM modeling on temporal data
Development of neural networks and deep learning workflows in R (Tensorflow, Keras)
- Approximate Bayesian Computation and Convolutional NN
- workflows on images, time series for regression or classification predictions
- Numerical simulations or applications on Lake temporal data
- Tools: Tensorflow and Keras in R but also Flux in Julia
Development for high throughput phenotyping data, temporal and spatial:
- data management and visualization of experiments in greenhouses or fields
- methods for detecting outliers
- openSilexStatR - github repository
- statgenHTP
Development of R packages for web service client for high throughput phenotyping platforms
- opensilex-ws-client-R
- phisWSClientR: https://github.com/OpenSILEX/opensilexClientR, https://github.com/OpenSILEX/phisWSClientR
Development of R packages of statistical methods developed within the lab:
Leading an R and Python programming working group
with a bit of Julia on the side…
Development of R/Shiny applications, shiny, shinydashboard, R server
Beta user in the SK8 project. documentation
ORIOLE: A web application for the automatic filtering of outliers in databases produced by the Walk-over-Weighing (WoW) platform (TechCare project)