Rita Pucci is assistant professor at LIACS.

More information about Rita Pucci

I develop machine-learning methods for computational biodiversity, with a focus on bioimaging and multimodal data integration. My focus is on models that fuse images, genomic sequences, morphometrics (and when available, audio) to uncover cross-modal relationships, improve species identification and delimitation, and enable scalable biodiversity monitoring. I design computer-vision pipelines that leverage images from field surveys, museum/herbarium collections, and citizen-science platforms, and I create integrated tools to support systematics and integrative taxonomy.