C. M. Mason

Applying an interpretable machine learning approach to assess intraspecific trait variation under landscape-scale population differentiation

The paper uses interpretable machine learning to identify functional traits predictive of ecoregion origin in sunflower populations.

A Machine Learning approach to study plant functional trait divergence

This study uses machine learning to identify functional traits driving interspecific phenotypic divergence in Helianthus, finding varying trait importance across genus and clade levels.