To ensure her theoretical work is accessible to the broader scientific community, Martin actively develops open-source tools:
: An R package designed for the linear modeling of high-dimensional designed data based on the ASCA/APCA family. manon martin
The primary goal of Martin’s research is to bridge the gap between complex experimental designs (e.g., multifactorial, longitudinal, or unbalanced designs) and the analysis of high-dimensional data, such as NMR spectra or mass spectrometry. She develops methods that allow scientists to extract meaningful biological insights from data that would otherwise be confounded by noise or complex variables. To ensure her theoretical work is accessible to
Manon Martin, PhD Primary Institution: UCLouvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) 1. Core Research Objective PhD Primary Institution: UCLouvain