Jungsoo Kim

I am a Ph.D. student in the Causality Lab at the Graduate School of Data Science, Seoul National University, advised by Prof. Sanghack Lee. My research interests include causal inference, representation learning, conformal prediction, and trustworthy machine learning. Recently, our paper, “A Tale of Two Uncertainties: Global-Local Attribution for Conformal Prediction,” which studies how global and local attribution can make the uncertainty behind conformal prediction more interpretable, was accepted as a spotlight paper at the EIML workshop at ICML 2026.

Before SNU, I studied Science, Technology and Policy and Quantitative Risk Management at Yonsei University’s Underwood International College, with an exchange semester in Mathematical and Computational Science at Yale-NUS College. Welcome anyone who has interest in questions that sit between statistical evidence, policy decisions, and real-world systems.