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I am a Professor in the Department of Statistics at Virginia Tech, where I have been a faculty member since Fall 2007. I received my Ph.D. in Statistics from Texas A&M University under the supervision of Dr. Raymond J. Carroll, and subsequently completed a Postdoctoral Research Fellowship in the Department of Biostatistics at Yale University under the mentorship of Dr. Hongyu Zhao. I also hold an M.S. in Applied Statistics from Yonsei University, Republic of Korea.

My research focuses on semiparametric and nonparametric methods for highly correlated, high-dimensional data arising in applications such as functional magnetic resonance imaging (fMRI) for cognitive neuroscience, brain and breast tumor cell lines, real-time and streaming signal data, and functional omics. To jointly characterize dependence structures, identify important features, and quantify uncertainty, I develop multitask network learning approaches, multilevel kernel machine methods, and hybrid frequentist–Bayesian inference. More broadly, I advance frequentist and Bayesian methodologies motivated by complex real-world problems that require innovative statistical solutions.