I am a researcher at Brookhaven National Laboratory, where I apply computational methods to solve scientific problems.
Education
PhD, May 2018 – Dec 2024, Computational Science and Engineering, Georgia Institute of Technology, Atlanta, US
MS, Aug 2016 – May 2018, Computational Science and Engineering, Georgia Institute of Technology, Atlanta, US
BS, Mar 2009 – Aug 2016, Energy Resources Engineering & Computational Science, Seoul National University, Seoul, South Korea
Professional Experience
Research Intern | Schlumberger-Doll Research, Cambridge, MA | May 2022 – Aug 2022
Engineered an innovative automated framework integrating machine learning predictions with uncertainty quantification and actionable model recommendations.
Developed a novel weighted out-of-distribution (WOOD) indicator by combining Gaussian parameterization with feature importance analysis using PCA and SHAP methodologies.
Research Intern | Schlumberger-Doll Research, Cambridge, MA (Remote) | May 2021 – Aug 2021
Developed a cement evaluation model using transformer architecture, leveraging synthetic data for pre-training and real-world data for fine-tuning to maintain physical accuracy.
Achieved significant performance improvements, reducing regression error mean from 0.13 to 0.07 and standard deviation from 0.32 to 0.25.
Personal Interests
Outside of research, I enjoy staying active through swimming and kickboxing. I’m also passionate about exploring different cuisines and discovering new restaurants.