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Interdisciplinary physicist and AI researcher specializing in the application of state-of-the-art machine learning to complex imaging, acoustic, and time-series data. Worked across scientific domains, transitioning from computational oceanography to a PhD in quantum optics and postdoctoral research in bioacoustics / collective animal behavior at the Max Planck Institute of Animal Behavior. Expert in self-supervised learning, multimodal data processing, and high-performance computing. Experienced team leader and mentor with formal management training via the DPG Leading for Tomorrow program.