Songeun Kim
Researcher
Hello, I'm Songeun Kim (김송은) — or you can just call me Olivia. Welcome to my personal blog!
I am an undergraduate researcher majoring in Statistics at Seoul National University.
My research interests center on robust decision-making under uncertainty, grounded in statistical theory. I am particularly interested in understanding uncertainty in machine learning systems and developing principled methods to control risk and enable reliable decisions, with the broader goal of building trustworthy AI.
Publications
Retiming Robot Demonstrations with a Learned Speed Prior
From Drift to Coherence: Stabilizing Beliefs of LLMs
Experience
Jun 2026 to present
MLLAB, SNU CSE
Research Intern
PI: Prof. Hyunoh Song
Feb 2026 to Jun 2026
LinqAlpha
Forward Deployed Engineer
Jul 2025 to Jan 2026
SIML Lab, KAIST AI
Research Intern
PI: Prof. Juho Lee
Dec 2024 to Jun 2025
High-Dimensional Multiple Testing Lab, SNU Statistics
Research Intern
PI: Prof. Junyong Park
Library
See the shelf →- New Paradigms in Modern Statistics IConformal prediction and risk control
New Paradigms in Modern Statistics I
Conformal prediction and risk control
Distribution-free inference for black-box models: conformal prediction, its theory and limitations, and a review of conformal risk control.
- Hypothesis TestingFrom classical tests to ML
Hypothesis Testing
From classical tests to ML