Hongliang Liu is a research scientist in the Department of Population Health Sciences. He has engaged in multiple population studies by using large-scale datasets to identify genetic variants that could serve as predictors for risk and clinical outcomes in cancer and neurodegenerative diseases (e.g., melanoma, lung cancer, head and neck cancer, pancreatic cancer, breast cancer, prostate cancer, Alzheimer's disease, and Parkinson disease). His work is mainly involved in statistical analysis of the data from genome-wide association studies (GWAS) and next-generation sequencing (NGS) from the public database and performing functional annotations of the findings.
Hongliang received his PhD degree in genetics from Fudan University and a master degree in statistics from NC State University. He has a diverse skill set encompassing various disciplines such as genetics, molecular epidemiology, and statistics.