
About
Adam Garrow is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on computational models of music cognition, aiming to bridge neural substrates and auditory experiences through AI. He explores how prior musical exposure influences perceptual and emotional responses to music.
His project, 'Probabilistic learning of sequential structures in music cognition,' seeks to create comprehensive models that map auditory inputs to behavioral outcomes. While no formal educational background is detailed here, his work intersects interdisciplinary fields like neuroscience and computer science.
Recent research includes a 2020 study on preclinical dosimetry models for PET radiotracers, highlighting contributions to medical imaging and pharmacology. No awards or grants are explicitly mentioned, though his profile links to ResearchGate and LinkedIn for further professional insights. Collaborations within the School's research groups and potential lab affiliations remain unspecified in the provided text.
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