Kevin Karbstein

This paper develops a deep learning framework that integrates molecular and image data to improve species identification, showing significant accuracy gains for genetically similar and morphologically indistinguishable species.

This study uses low-coverage whole genome sequencing and plastome analysis to investigate the taxonomy of Betula klokovii, finding it distinct from related species despite potential hybridization.

The paper presents the first nuclear and mitochondrial genome sequences of Ranunculus, along with plastome evolution, using efficient assembly strategies for non-model plants.