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Biodiversity research often requires reconstructing coherent biological structure from fragmented evidence, whether those fragments are sequencing reads or multi-view images. This talk connects two method pipelines: mixed-genome inference for assembly problems and 3D floral phenomics for comparative morphology. Together, these pipelines offer new ways to integrate genomic and phenotypic evidence in support of ongoing plant evolutionary research at NYBG.
Dr. JianJun Jin is Assistant Curator in the Laboratory for Integrative Biodiversity Research at the New York Botanical Garden. His research combines genomics, phylogenetics, and computational biology with quantitative, reproducible workflows to investigate the origins and patterns of plant diversity. He develops computational methods and pipelines that enable these analyses at scale, connecting genome-scale and phenotypic datasets with organismal questions.