Kyu Ha Lee, PhD
Trained in Bayesian statistical methods, Dr. Lee’s research focus is on statistical methods development for microbiome studies. One research goal is to develop methods for understanding the spatial organization of microbes by using spectral imaging data (statistical point pattern analysis approaches). Another research goal is to develop comprehensive multivariate methods for microbiome sequencing count data. These methods differ from most commonly used techniques in that they involve analyzing the count distributions of all microbial types as a joint endpoint distribution, instead of analyzing the count of each type separately (taxon-by-taxon analysis). The overarching goal is to provide more robust and valid quantitative analysis tools to scientists in microbiology and bioinformatics.
While developing his own methodological research, Lee also works as a core biostatistician collaborating with other principal investigators at Forsyth and Harvard. Some specific areas of expertise include cluster-correlated multivariate time-to-event data, high-dimensional multivariate epigenetic data, and survival data with high-dimensional covariates.
University of Missouri-Columbia, PhD, 2011, Statistics
Harvard School of Public Health, Postdoctoral, 2013, Biostatistics