James Xiao is a driven researcher with expertise in machine learning, artificial intelligence, and neuroscience. As a student with experience at Harvard University and the Broad Institute, he has worked on projects involving computational models for brain-machine interfaces and artificial neural networks. His research interests focus on leveraging machine learning to enhance the understanding of brain function and to develop advanced tools for neurological study and intervention. James is committed to interdisciplinary approaches that bridge neuroscience and technology, aiming to innovate at the intersection of these fields. As a mentor, he shares his knowledge of computational modeling, data analysis, and experimental techniques, guiding students to excel in research and problem-solving within neuroscience and AI.