معرفی
Xiao Li serves as Associate Professor in the Department of Biochemistry at Case Western Reserve University School of Medicine and Department of Biomedical Engineering at Case School of Engineering, with additional affiliations at the Center for RNA Science and Therapeutics and Population and Cancer Prevention Program of the Case Comprehensive Cancer Center. Li's research bridges molecular biology and clinical applications through RNA systems biology in precision medicine.
Li's educational background includes:
- PhD from University of Toronto
- Postdoctoral training at Stanford University
Research focuses on deciphering gene-environment interactions in human diseases through dual approaches: (1) investigating genetic variation impacts on post-transcriptional regulation and RNA-binding protein functions, and (2) leveraging wearable technology for deep phenotypic and environmental profiling. The lab integrates multi-omics datasets with real-world environmental exposures to achieve personal-resolution disease understanding, particularly in cancer and metabolic disorders. Key methodologies include CRISPR screening, machine learning analysis of wearable data, and systems-level RNA metabolism studies.
Recent publications (2017-2024) demonstrate consistent high-impact output across RNA biology, cancer therapeutics, and digital health, with notable work in chemoresistance mechanisms, postoperative complication prediction using wearables, and genome-wide regulatory element mapping. Articles frequently appear in journals like Nature Biomedical Engineering, Journal of Experimental Medicine, and Cell, reflecting interdisciplinary collaboration across oncology, immunology, and biomedical engineering domains.
Li leads the Li Lab within the Center for RNA Science and Therapeutics, maintaining active collaborations with Case Comprehensive Cancer Center researchers and engineering faculty. The lab's work on data-driven health platforms and RNA-centric disease mechanisms positions it at the forefront of precision medicine translation, with ongoing projects focused on wearable-based early disease detection and RNA-targeted therapeutic development.
