معرفی
Andrew Moberly is an Associate Research Scientist in Neuroscience at the Yale School of Medicine. His research focuses on neural circuitry, neuroimaging technologies, and computational approaches to understanding brain function. He has contributed to advancements in multiphoton microscopy and mathematical modeling of neural systems. Collaborating with experts like Jessica Cardin and Michael Higley, his work bridges experimental and theoretical neuroscience. His publications span topics including olfactory processing, functional connectivity dynamics, and neural network modeling.
Key research interests include neuroimaging instrumentation development (e.g., the Cousa objective), systems-level analysis of brain activity, and the interplay between sensory input and behavioral outputs. He investigates both basic mechanisms (e.g., dendritic spine structure) and applied technologies (e.g., in vivo imaging systems). His recent work emphasizes machine learning applications to neuroscience, as seen in his 2024 Nature Machine Intelligence publication.
Awards and grants: No specific awards listed in the provided texts. His research has been published in high-impact journals like Nature Machine Intelligence and Nature Methods, indicating peer recognition of his contributions. Collaborations with engineers and clinicians highlight interdisciplinary approaches to neuroscience challenges.
