7 years research experience in developing statistical methods and computational algorithms for genomic prediction and genome-wide association studies, analyzing simulated and real whole-genome data, and computer simulation for phenotypic and genomic data.Specialized in statistical modeling (linear mixed model, generalized linear model, mixture model, multivariate model, Bayesian hierarchical model, time series model), computational algorithms (best linear unbiased prediction, ridge regression, variable selection, EM, MCMC, Gibbs, Metropolis-Hastings), Bayesian statistical inference and hypothesis testing for whole-genome analyses.Proficient in C++, Julia, R, shell scripting, Python, experienced in WinBUGS, SAS, Stan.
Listed skills include Statistics, R, Data Analysis, Research, and 11 others.