IS Department welcomes new professor in Data Science and Health Informatics, Dr. Heejun Kim

The faculty and staff of the Information Science Department are pleased to welcome Dr. Heejun Kim who joins the faculty this fall as an Assistant Professor in Data Science and Health Informatics.

Dr. Kim's research interests include text mining, machine learning, information retrieval, health informatics, and geographic information science. He is particularly interested in applying computational methods to social problems. One of his main research interests is developing an intelligent system that automatically recommends credible health information. He also applies text/data mining from social media posts to detect potential adverse drug reactions.

Heejun Kim
                    Dr. Heejun Kim

Prior to joining UNT, Kim worked as a postdoctoral researcher at Drexel University, where he taught core data science courses and worked for diverse research projects, including pharmacovigilance. He earned his Ph.D. in Information Science from the University of North Carolina – Chapel Hill, an MS in Geography (with a specialization in geographic information science) from the University of Illinois – Urbana-Champaign, and a BS in Electrical Engineering from Yonsei University. He is largely influenced by his technical background and an interest in solving problems arising from the social context. He pursues balanced research between methods in computation and subjects in information and library science.

He relocated to Texas in July 2020 with his wife and two sons. In their spare time, they enjoy traveling and camping all over the United States. Dr. Kim says it is their first time living in the South, and they are looking forward to traveling in this area. Dr. Kim loves watermelon, and enjoys predicting the taste of watermelon. Students may learn how to pick delicious watermelons regarding feature selection, if they take his machine learning/data mining course.

Dr. Kim will be teaching INFO 3020 - Introduction to Computation with Python in the fall semester.