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Heejung Shim is an Adjunct Assistant Professor at Purdue University's Department of Statistics. Her research focuses on various areas within statistics, particularly applied statistics and Bayesian methods. She has a strong interest in computational biology, emphasizing how statistical methodologies can be applied to biological data. Functional data analysis is another key area of her research, where she investigates the behavior and features of complex functional data sets. Furthermore, Heejung studies genomics, utilizing statistical techniques to interpret genetic information effectively. She is dedicated to advancing statistical practices and fostering new techniques that can efficiently analyze biological phenomena. Heejung's commitment to research is complemented by her teaching, where she strives to inspire students to appreciate and utilize statistical reasoning in their work.
GRE is optional.