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Jun Chen, Ph.D., is a quantitative health sciences researcher whose work focuses on the development and application of powerful and robust statistical methods for high-dimensional omics data, arising from modern high-throughput technologies such as microarray and next-generation sequencing. Dr. Chen is particularly interested in methods for microbiome and single-cell sequencing data. Much of this effort is motivated by ongoing collaborations in projects that study the role of the human microbiome in disease using metagenomic sequencing and the genomic architecture of vaccine response using single-cell sequencing.
Dr. Chen's methodology development aims to advance tools to aid in clinical decision-making based on each patient's microbiome profile. Microbiome-based disease subtype can be used to stratify patients into groups based on which different treatment can be administered. Predictive models can be used to predict disease risk for disease prevention and diagnosis, drug response for personalized treatment, and prognosis for better treatment management.
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