Jinu Soh

• Office: Room 333, Building 25
• E-mail: ggamjang93 (at) (snu domain)

Research Interests

My research focuses on statistical methodology and machine learning for spatial and spatiotemporal data. My current work focuses on developing deep learning and attention-based methods that incorporate spatial dependence and functional inputs. My doctoral research focused on developing empirical likelihood methods and variable selection techniques for spatial regression models.

• Spatial and Spatiotemporal Statistics
• Machine Learning for Spatial and Structured Data
• Deep Learning and Attention-based Models
• Functional Data Analysis
• Empirical Likelihood
• Variable Selection

Academic Positions

• Postdoctoral Researcher, Institute for Data Innovation in Science, Seoul National University, Mar 2026 - Current.

Education

• Ph.D. in Statistics, Seoul National University, Mar 2021 - Feb 2026.
  Advisor: Professor Chae Young Lim
  Dissertation: Blockwise Empirical Likelihood for Spatial Regression Models
• M.S. in Statistics, Seoul National University, Mar 2018 - Feb 2021.
  Advisor: Professor Chae Young Lim
• B.S. in Statistics, Seoul National University, Mar 2012 - Feb 2018.