9. Melika Baghooee - Artificial Intelligence and Computer Vision - The Biodiversity Impact Podcast
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9. Melika Baghooee - Artificial Intelligence and Computer Vision - The Biodiversity Impact Podcast
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About this listen
In this episode, I am joined in the studio by Melika Baghooe, an early career researcher working at the intersection of AI, computer vision, and ecology. Currently a PhD fellow at the Centre for Quantitative Genetics and Genomics at Aarhus University in Denmark, Melika shares her journey from biosystems engineering to insect biodiversity research, and how she went from being afraid of insects to caring deeply about their future.
We explore how computer vision and multimodal AI can support insect identification, address the taxonomic impediment, and improve how we measure biodiversity through traits such as size and biomass. Melika explains her work using Entoscan, a modified flatbed scanner, alongside malaise trap samples, and why standardised data collection is essential for understanding insect decline.
We also discuss the importance of interdisciplinary science, the challenges faced by early career researchers, and what gives her hope, from collaborative research communities to the growing momentum around AI for biodiversity.
Protecting biodiversity matters for people, planet, and profit. And, as Melika reminds us, for engineering ecosystems in space.