Biography
I am a postdoctoral research associate at the Cardiovascular Epidemiology Unit. Currently, I am interested in leveraging omics and healthcare data such as electronic health records to better understand the risk of health outcomes. Prior to joining Cambridge, I obtained my PhD in Biostatistics at University of Washington, where I developed statistical methods for the association analyses of microbiome data, and had consulting experiences in health economics and outcomes research.
Research
Statistical methods for omics and healthcare data
Publications
Liu, H., Ling, W., Hua, X., Moon, J. Y., Williams-Nguyen, J. S., Zhan, X., ... & Wu, M. C. (2023). Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity. Microbiome, 11(1), 80.
Song, H., Liu, H., & Wu, M. C. (2022). A fast kernel independence test for cluster-correlated data. Scientific Reports, 12(1), 21659.
Liu, H., Plantinga, A., Xiang, Y., & Wu, M. (2021). A kernel-based test of independence for cluster-correlated data. Advances in neural information processing systems, 34, 9869-9881.
