Bruno Leggio

An Interpretable Framework to Characterize Compound Treatments on Filamentous Fungi using Cell Painting and Deep Metric Learning

This paper develops a deep metric learning framework for analyzing cell painting images of filamentous fungi to estimate dose-response curves and group images by mode of action.

A multiscale analysis of early flower development in Arabidopsis provides an integrated view of molecular regulation and growth control

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

Contact-dependent cell communications drive morphological invariance during ascidian embryogenesis

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