As a computer scientist, I build AI methods that read biodiversity across images, genomes, and morphology. In this talk, I’ll trace a short research arc and share where it’s headed. I will start from fine-grained vision to multimodal learning, show current work on leaf-venation and genomics in plants and segmentation of body parts in insects, and introduce emerging research path on pattern-formation models for individual ID. I will briefly introduce how all fits nicely with my future new course in multimodal models for biodiversity and ecology. I’ll end with a forward-looking plan for an integrative morphospace to support taxonomy at scale
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