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Resume (English only)
Academic Achievements
Top placements in the ATD Challenge competitions from 2021 to 2023. Received the UCF Research Incentive Award (RIA) in 2021, a UCF College of Sciences Seed Grant in 2023–24, the Outstanding Instruction Award in 2024, the UCF Office of Research Mentoring Program Award in 2025, the 2025 UCF College of Sciences OSCaR Award for Outstanding Scholarship, Creative Works, and Research, and an elected member of the International Statistical Institute (ISI). Published several academic papers, such as 'Robust Sufficient Dimension Reduction via Distance Covariance' in the Journal of Nonparametric Statistics.
Research Experience
Associate Professor in Statistics and Data Science at the University of Central Florida (UCF). Principal investigator on multiple grants from the National Science Foundation’s (NSF) Algorithms for Threat Detection (ATD) program and co-investigator on a National Institute of Neurological Disorders and Stroke (NINDS) R01 award from the National Institutes of Health (NIH).
Education
Ph.D. in Statistics from the University of Illinois at Chicago; M.S. in Statistics from the Georgia Institute of Technology; M.S. in Mathematics from National Taiwan University; dual B.A./B.S. degrees (Economics and Mathematics) from National Taiwan University.
Background
Research interests include Bayesian ultrahigh-dimensional variable selection, matrix- and tensor-variate regression, clustering, classification, and dimension reduction, with a focus on developing new statistical methods for complex, large-scale data. Recent projects encompass spatiotemporal modeling, novel neuroimaging reconstruction algorithms, and threat detection.