Jingyi Jessica Li

Dr. Jingyi Jessica Li's work addresses critical gaps in the integration of statistical methods with biomedical data analysis, focusing on the development of interpretable and robust statistical techniques. As a distinguished Professor at UCLA, she holds expertise in Statistics and Data Science, Human Genetics, Computational Medicine, and Biostatistics. Her academic journey began with a B.S. from Tsinghua University, followed by a Ph.D. from UC Berkeley, where she honed her skills in creating innovative statistical models tailored for complex biomedical datasets. At UCLA, Dr. Li leads the research group known as the Junction of Statistics and Biology. This group is dedicated to advancing our understanding of the central dogma of molecular biology through quantitative approaches. Her research is particularly focused on extracting hidden insights from transcriptomics data, a field that holds immense potential for unraveling the complexities of gene expression and regulation. By ensuring statistical rigor in data analysis, Dr. Li's work contributes to more accurate and reliable interpretations of biological data. Dr. Li's contributions to the field have been widely recognized through numerous prestigious awards. She is a recipient of the NSF CAREER Award, which supports early-career faculty who have the potential to serve as academic role models. Her innovative work has also earned her the Sloan Research Fellowship, which acknowledges outstanding early-career scientists. Additionally, she has been honored with the ISCB Overton Prize and the COPSS Emerging Leaders Award, both of which highlight her significant impact on computational biology and statistics. Beyond her research, Dr. Li is deeply committed to education and mentorship. She actively engages with students and young researchers, fostering an environment of collaboration and intellectual curiosity. Her dedication to teaching and mentorship ensures that the next generation of scientists is well-equipped to tackle the challenges of data-driven research in the biomedical sciences. Dr. Li's interdisciplinary approach bridges the gap between statistical theory and practical application, making her a pivotal figure in the advancement of computational methods in biology. Her work not only enhances our understanding of biological systems but also paves the way for new discoveries in the field of biostatistics and beyond. Through her leadership and vision, Dr. Li continues to inspire and drive innovation in the scientific community.