Summary
Ysobel Sims is a Postdoctoral Research Fellow with eight years’ experience applying machine learning and data science to conservation, specialising in marine spatial planning and biodiversity acoustics. Her PhD work on zero-shot learning for bioacoustics underpins practical tools for species detection and long-term monitoring, and she has delivered NSW Environmental Trust–funded models for automated frog call detection. At Macquarie University she combines AI (including LLMs and super-resolution) with stakeholder-focused spatial decision tools to support equitable, evidence-led marine policy across the West Indian Ocean. A seasoned educator and robotics mentor from her time with the NUbots, she pairs rigorous research with outreach and accessibility work, having developed materials and support for vision-impaired students. Notably, she bridges cutting-edge research and real-world impact by translating complex model outputs into practitioner-ready insights for SDG 14 initiatives.
8 years of coding experience
Bachelor's degree, Computing Honours, Bachelor's degree, Computing Honours at University of Newcastle