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Hyonho Chun is an Adjunct Associate Professor in the Department of Statistics at Purdue University. He specializes in various areas within statistics, with a focus on network inference and covariance estimation particularly in high dimensional data contexts. His interests also extend to nonparametric function estimation and machine learning applications within statistical genomics. Chun's expertise includes expression quantitative trait loci mapping methods and the statistical analysis of generation sequencing data, especially when addressing correlated high dimensional low sample size issues. He has contributed to the education of Ph.D. students at Purdue University, guiding their research in statistics. His academic journey includes significant accomplishments and honors, reflecting his dedication to teaching and research in statistics.
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