معرفی
Jingyi Jessica Li is a Professor at the University of California Los Angeles (UCLA), holding joint appointments in the Departments of Statistics and Data Science, Human Genetics, Computational Medicine, and Biostatistics. Her research focuses on developing statistical and computational methods for analyzing high-throughput genomic data, with applications in transcriptomics, single-cell analysis, and epigenetics. She earned her B.S. in Biological Sciences from Tsinghua University (2007) and her Ph.D. in Biostatistics from UC Berkeley (2013).
Her work emphasizes methodological advancements in bioinformatics, including tools for single-cell RNA-seq analysis (e.g., scDesign, scImpute), contamination detection (scCDC), and differential expression (PseudotimeDE). She has contributed significantly to understanding transcriptional regulation, epigenetic mechanisms, and translational control in biological systems.
- Research Themes: Single-cell genomics, statistical methodology, computational biology, epigenomics, and systems biology
- Labs/Teams: jsb_ucla Lab
Dr. Li has received numerous accolades, including the COPSS Emerging Leader Award (2023), ISCB Overton Prize (2023), and a Radcliffe Fellowship (2022–2023). Her work bridges statistical rigor and biological insight, addressing challenges in large-scale genomic data interpretation.
