Manon Martin Apr 2026

Manon Martin, PhD Primary Institution: UCLouvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) 1. Core Research Objective

: She has compared and enhanced techniques like AMOPLS and AComDim , extending them to unbalanced experimental designs using Generalized Linear Model (GLM) versions of matrix decomposition. manon martin

: Martin has significantly advanced the ASCA (ANOVA-Simultaneous Component Analysis) family of methods. Her work on LiMM-PCA combines Linear Mixed Models (LMM) with Principal Component Analysis (PCA) to handle advanced designs with random effects and quantitative variables. Her work on LiMM-PCA combines Linear Mixed Models

While her focus is statistical, her work is applied across diverse scientific areas: Software Development

: In the field of single-cell proteomics, she contributed to scplainer , a tool using linear models to understand variation in mass spectrometry-generated peptidomics data. 3. Software Development