CV

Master

Seoul National University, Graduate School of Data Science

Data Science

• GPA: 4.22/4.5
• Courses: Convex Optimization, High Performance Computing, Big Data and Knowledge Management System, Causal Inference
• Teaching Assistant: Causal Inference, Machine Learning and Deep Learning II, Basic Statistics & Mathematics Bootcamp

B.P.A. / B.B.

Yonsei University, Underwood International College

Science, Technology and Policy; Quantitative Risk Management

• GPA: 4.15/4.5
• Courses: Mathematical Statistics, Regression Analysis, Econometrics, Survival Data Analysis, Time Series Analysis, IT and Socio-Economic Change, Principles of Financial Engineering

Exchange Student

National University of Singapore, Yale-NUS College

Mathematical and Computational Science

A Tale of Two Uncertainties: Global-Local Attribution for Conformal Prediction

Spotlight paper.

Instrumental Variable Representation Learning under Confounded Covariates

Diagonal Argument: Anthology of 5th POSTECH SF Award-Winning Works

Chapter: Will of Stochastic Ghost. ISBN: 9791167375810.

Authored a short story exploring conflicts surrounding generative-AI-based evidence.

Submitted a master’s project paper on instrumental variables.

Proposed a study on causal structure analysis for Korean population policy.

Identified medically underserved areas in Asan through geospatial analysis.

Built a dropout-prediction model using survival analysis.

Developed a traffic-accident risk model with XGBoost and interpreted drivers using SHAP.

Designed a traditional musical-instrument recommendation system.