Biography
Si started her career from applying mass spectrometry-based metabolomics on elucidation of disease mechanism and therapeutic effects of Traditional Chinese Medicine (TCM) at metabolic level. Then she expanded her interest and expertise to quantitative genetics including GWAS and linkage mapping, as well as integrating multi-omics by network analysis approaches in her PhD. During her postdoc training at Stanford University, Michael Snyder’s lab, she combined multi-omics profiling and integration with machine learning, allowing her to address many crucial questions in precision health and medicine mainly focusing on physical exercise, cancer, and preeclampsia. Now she is working as a senior bioinformatics scientist II at AbbVie Genomics Research Center (GRC) Computational Oncology, mainly focusing on applying various large-scale genomics data (WGS, WES, RNA-seq, proteomics, single-cell RNA-seq, CITE-seq, spatial transcriptomics, etc) to advance oncology drug target discovery.
Track Chair: Cindy Lawley, Olink