Jialiu Xie is a Biostatistics PhD candidate at UNC Chapel Hill, specializing in predictive modeling, multi-omics data integration, and translational medicine & precision genetics. Co-advised by Dr. Naim Rashid and Dr. Di Wu, her research develops novel statistical methods for analyzing complex genomic and microbiome data to advance precision oncology.

Jialiu earned her MS in Biostatistics from UNC Chapel Hill (2019-2021) and has been a Graduate Research Assistant at UNC since May 2020, bringing over five years of research experience to the lab. Her work focuses on developing multi-omic analytic frameworks for microbiome data that enable integrated tumor-microbiota analyses, driving new precision medicine targets in collaboration with UNC Lineberger researchers.

Her research contributions include publications on infectious disease forecasting and outbreak detection. She is first author on “Real-Time Forecast of Influenza Outbreak Using Dynamic Network Marker Based on Minimum Spanning Tree” (BioMed Research International, 2020) and “Detecting the outbreak of influenza based on the shortest path of dynamic city network” (PeerJ, 2020). These works demonstrate her expertise in predictive modeling and network-based approaches to public health challenges.

Jialiu is fluent in Chinese (native proficiency) and English, and her skills span presentations, communication, statistical computing, and data visualization. She is open to biostatistician roles in industry, bringing a strong foundation in translational research and computational biology to advance data-driven healthcare solutions.