Current Position

Professor, Department of Statistics, Seoul National University

Research interests

  • High-performance statistical computing
  • Optimization - MM algorithms, proximal algorithms
  • Machine learning
  • Image processing

Ph.D. Students

  1. Dr. Seyoon Ko, “Easily parallelizable statistical computing methods and their applications in modern high-performance computing environments,” Best Dissertation Award, August 2020, Postdoctoral Fellow, UCLA Dept. of Biostatistics, USA
  2. Dr. Youngwon Choi, “Deep learning from structured data,” August 2020, Postdoctoral Fellow, UCLA Center for Vision & Imaging Biomarkers, USA