Bingqing Xie is a fourth-year postdoc scholar in Dr. Anindita Basu’s lab at the University of Chicago. She holds a Ph.D. in computer science from the Illinois Institute of Technology, and her research interest lies in developing machine learning and statistical algorithms for system biology. Bingqing Xie’s Ph.D. thesis was on gene prioritization via probabilistic graph models. The algorithm she developed integrates results from both RNA-seq experiments and existing functional associations among the genes. Her current projects focus on recovering cell-level cancer or pathogen-associated mechanisms using single-cell assays and developing a single-cell analysis pipeline to annotate subpopulations and their functional associations with the cancer micro-environment or disease states. Meanwhile, she works with the Lynx bioinformatics team at the University of Chicago to build clinical data integrative platforms for biological research.