About Me
Sungjun Lim
Ph.D. Student, Yonsei University
Statistics and Data Science
Hello! I am Sungjun Lim, a graduate researcher at Yonsei University's Statistics and Data Science department.
My research centers on building robust and trustworthy AI systems, focusing on uncertainty quantification, robustness under distribution shift, and mechanistic interpretability to understand model behavior in out-of-distribution settings.
Currently, I am working on uncertainty-aware and geometry-aware interpretability methods for large-scale neural networks, aiming to improve the robustness and faithfulness of explanations in real-world scenarios.
Trustworthy AI
Uncertainty Quantification
Distribution Shift
Mechanistic Interpretability
Bayesian Deep Learning
Probabilistic Representations
