Sungkyu Jung
Scholar

Sungkyu Jung

Google Scholar ID: WYEkUW8AAAAJ
Department of Statistics, Seoul National University
StatisticsApplied StatisticsMultivariate Statistics
Citations & Impact
All-time
Citations
707
 
H-index
14
 
i10-index
18
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • 2025 Korea Statistician of the Year; Participated as a panelist in the Global Privacy Assembly 2025, discussing Korea's efforts in synthetic data generation and utilization; Published a video clip explaining Frechet means on curved spaces and their genericity property.
Research Experience
  • Research projects include non-Euclidean data analysis, high-dimensional data processing, the interplay between geometry and statistics, and data fusion. Special focus on developing methods for dimension reduction, visualization of important variation, and hypothesis testing.
Education
  • PhD from the University of North Carolina at Chapel Hill; Worked for seven years at the University of Pittsburgh; Currently, Professor of Statistics at Seoul National University
Background
  • Research interests: Non-Euclidean, High-Dimensional data analysis, and Data Privacy; Professional field: Statistics; Brief: Professor of Statistics at Seoul National University, focusing on the theoretical study and applications of modern Statistics and Data Science in the analysis of data that lie on non-standard spaces, especially in the high-dimension, low-sample-size (HDLSS) situation.
Miscellany
  • Authored two books and coauthored one more, all in Korean.