Grégoire Malandain

The paper develops a hierarchical modeling framework to predict enzymatic saccharification dynamics by simplifying complex interactions through successive model reductions.

This paper introduces an automated framework for naming cells in ascidian embryos, revealing consistent and variable features of embryogenesis across species and conditions.

This study identifies a distinct autofluorescence pattern marking enzymatic deconstruction of plant cell walls and develops a computational pipeline to assess hydrolysis impact.

The paper shows that tissue-scale force balance, not cell-autonomous shape changes, drives epithelial buckling and initiates gastrulation in Drosophila embryos.

The paper creates a 4-D atlas of early Arabidopsis flower development and uses computational models to identify gene regulatory hypotheses and growth mechanisms.

The paper investigates how contact-dependent cell communications maintain morphological invariance during ascidian embryogenesis despite genomic divergence.