Anne K. Steensma

The paper develops a mathematical model of a non-canonical carbon-concentrating mechanism in the alga Cyanidioschyzon merolae, identifying key parameters that enable its function.

The paper uses Arabidopsis gene expression data to train machine learning models for predicting tissue identity in other flowering plants, finding that gene expression signatures are more predictive than marker genes.