Xiaojin Li

Dr. Li is a Research Assistant Professor in the Department of Neurology at UTHealth and a faculty member in the Texas Institute for Restorative Neurotechnologies. Dr. Li has trained as a Computer Scientist and has developed a variety of data management systems and machine learning tools for epilepsy and sleep research. He has developed a metadata-driven interface called SeizureSphere for annotating, querying, and visualizing interfaces for electro-physiological data in a scalable MongoDB environment. He is serving as a Co-Investigator for the BRAIN Initiative Cell Atlas Network (BICAN) Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE; U24MH130988, PI: GQ Zhang) within the BRAIN Initiative Cell Atlas Network (BICAN) program. He contributed to developing the Neuroanatomy-Anchored Information Management Platform (NIMP) for Collaborative BICAN Data Generation (RRID:SCR_024684), achieving this milestone in under three years through extensive collaboration. NIMP now serves as the standard for metadata context generation, enabling comprehensive end-to-end tracking of BICAN resources—from donor information, brain slabs, and tissue blocks to libraries, aliquots, and downstream archives such as NeMO and BIL. He also contributed to the Neurophysiological AI-Ready Data Resource (NAIRD; R01NS126690, PI: GQ Zhang), a project focused on developing an AI-ready dataset that includes tens of thousands of sleep polysomnograms (PSGs) and EEG recordings, featuring millions of labeled segments for seizures, sleep stages, and other essential events.