PhD, Statistics, Case Western Reserve University
Research interests include: translation bioinformatics, multivariate data analysis and visualization, unsupervised learning, cloud computing and big data analytics, biobanks and EHRs
For more information: tbilab.org
Dr. Yaomin Xu's research is focused on developing statistical and computational methods to extract new knowledge from large biomedical datasets. His recent research emphasis is on integrating patient phenome and genome data to identify complex mechanistic biomarkers for precision medicine. He is experienced in big data analysis and discovery using real-world health datasets, such as biobanks and electronic health records (EHRs). Dr. Xu's statistical methods focus on multivariate data analysis, visualization, and unsupervised learning. He is also dedicated to creating cloud-based research data analysis platforms and infrastructures that are cost-effective and support big data biomedical research through team-based problem-solving using real-world data, particularly complex data such as multi-omics data obtained from clinical samples, biobanks, and EHRs.