Juliacon 2024

Charles Marois

I am currently enrolled as a graduate student in applied mathematics at Ecole Polytechnique de Montréal in Canada. My research focuses on fitting extreme statistical models to climate models in order to better predict the occurrences of natural hazards like extreme rainfalls or heat waves. Ultimately, my research will benefit governments and engineers so that new infrastructure and urban planning can withstand extreme events. On another level, I also work as a senior software engineer at Coveo, a genAI platform that creates relevant experiences for customers online.


Session

07-11
11:00
10min
Bias correcting methods for climate models
Charles Marois

In this talk, we present QuantileMatching.jl, a package that provides exhaustive high-performance functions to perform quantile matching of an actual distribution and a target distribution with Julia. The functionalities will be illustrated in this talk with stationary examples of climate models and the impacts of bias correction.

General
While Loop (4.2)