Summary
Yili Xu is a PhD candidate in Genetic Epidemiology and research assistant at USC with eight years of experience applying bioinformatics, epidemiology, and biostatistics to cancer etiology studies across diverse populations. Previously a bioinformatician, she built and scaled NGS post-processing pipelines that handled over 10TB of data and redesigned CNV detection workflows—using parallelization, meta-regression, and HMMs—to process more than 1TB of human genetic data. She has led core analyses quantifying genetic risk for prostate and breast cancer and streamlined data extraction, visualization, and reporting for dozens of cancer research projects. Based in Los Angeles, she combines hands-on pipeline development with rigorous statistical analysis and teaching experience at Keck School of Medicine. Notably, her work bridges reproducible large-scale computing and population-level inference, enabling translational insights from high-dimensional genomic datasets.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Epidemiology, Doctor of Philosophy - PhD, Epidemiology at Keck School of Medicine of the University of Southern California
Bachelor of Engineering - BE, Pharmaceutical Engineering, Bachelor of Engineering - BE, Pharmaceutical Engineering at Central South University
Chinese, English