Both Named Among the World's Top 2% Scientists, Demonstrating Their Research Strength
Praised for "Synergy Between Data Analysis and Medical Knowledge"

Kyung Hee University announced that Kim Soeun, a doctoral student in the Department of Precision Medicine at its Graduate School, and Oh Jiyeon, a third-year medical student, were both named among the “World’s Top 2% Scientists,” a list published by Stanford University in the United States.

Kyung Hee University students Kim Soeun (left) and Oh Jiyeon, who were jointly named among the world’s top 2% of researchers, pose for a commemorative photo with their certificates of recognition in front of them. Kyung Hee University.

Kyung Hee University students Kim Soeun (left) and Oh Jiyeon, who were jointly named among the world’s top 2% of researchers, pose for a commemorative photo with their certificates of recognition in front of them. Kyung Hee University.

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Oh made the list as an undergraduate, a first for South Korea. Kyung Hee University also demonstrated its research strength, with 126 of its researchers selected based on the past year.


The two students have been conducting joint research at the Kyung Hee Digital Health Center under the guidance of Professor Yeon Dong-geon, combining data science and medicine to precisely analyze the disease burden in countries around the world and predict future changes.


Their work has been praised for achieving a perfect synergy between Kim’s expertise in data analysis and mathematical modeling and Oh’s medical knowledge, which she uses to identify key questions in clinical settings.


After majoring in data science at another university, Kim completed her master’s degree at Kyung Hee University and went on to pursue a doctorate. She has expanded her research from estimating global mortality using World Health Organization (WHO) data to predicting disease patterns and quantifying economic losses.


She is also developing into a key interdisciplinary researcher bridging data science and healthcare by applying artificial intelligence (AI) and deep learning to maximize the accuracy of predictive models.


After entering medical school, Oh joined the research team as an undergraduate researcher while balancing her studies and research. She has explored the effects of diseases on individuals and society, focusing on conditions such as metabolic fatty liver disease that are of significant social concern and have a high clinical need.


She is currently gaining clinical experience through hospital rotations while conducting medical big data research, pursuing a career as a physician-scientist who uses data to address real-world problems in clinical practice.


Their efforts have led to an impressive publication record. They have demonstrated their research capabilities by publishing multiple papers as first authors in prestigious international medical journals.


Their ultimate goal is to ensure that their research findings are used in practice, informing international health policy and actual clinical guidelines.



Professor Yeon Dong-geon of Kyung Hee University’s College of Medicine said, “This achievement is an exemplary case of interdisciplinary research, in which clinical questions in medicine and data science methodologies came together to address challenges in healthcare.”


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