معرفی
Dr. Anja Zai is a Researcher affiliated with the Department of Neuroinformatics at ETH Zürich. Her work focuses on interdisciplinary investigations of vocal motor control, neuroethology, and computational methods in animal behavior. She specializes in studying songbirds as model systems to explore sensory-motor integration, reinforcement learning, and acoustic communication. Her research integrates advanced imaging techniques (e.g., synchrotron X-ray CT), machine learning, and experimental setups like the RecOOrder modular recording environment.
Key research themes include vocal learning mechanisms in zebra finches, environmental influences on vocal behavior, and neuroprosthetic applications through sensory substitution. Her studies address fundamental questions about how organisms adapt vocalizations under sensory deprivation, optimize motor exploration, and encode complex vocal repertoires. Recent work emphasizes multimodal sound source separation (Vib2Sound) and algorithmic modeling of vocal planning processes.
Dr. Zai’s methodological contributions include benchmarking datasets for vocalization analysis and tools for non-invasive welfare monitoring in isolated animals. While no scientific awards are explicitly listed, her frequent publication in high-impact journals since 2015 indicates sustained research excellence. Her work bridges computational neuroscience, behavioral ecology, and engineering through cross-disciplinary approaches.
