About
Postdoctoral researcher at Seoul National University developing computational frameworks for sustainable catalysis.
Background
I develop machine learning frameworks for catalyst discovery, combining density functional theory with graph neural networks. My work focuses on accelerating sustainable chemical processes through computational design.
Technical Expertise
Computational Methods
Machine Learning & AI
Programming Languages
Research Domains
Academic Journey
Postdoctoral Researcher
Seoul National University | Department of Materials Science and Engineering
Working with Professor Jeong Woo Han on multiscale catalysis simulation and machine learning potential development for heterogeneous catalysis. Focus on developing next-generation frameworks for catalyst discovery.
Ph.D. in Chemical Engineering
POSTECH (Pohang University of Science and Technology)
Advisor: Prof. Jeong Woo Han | GPA: 4.0/4.3
Dissertation focus on computational catalysis for electrochemical and thermal catalyst design. Developed innovative frameworks including CEAL and CRACK for efficient catalyst screening.
International Exchange Programs
Seoul National University (Fall 2018)
Technical University of Denmark (Fall 2019)
Gained international research experience and collaborative skills through exchange programs, broadening research perspective in computational materials science.
B.Sc. in Chemical Engineering
POSTECH (Pohang University of Science and Technology)
Undergraduate research on mechanism study of Platinum Catalyst in Oxygen Reduction Reaction using DFT approach. This early exposure to computational catalysis shaped my research interests.
Languages & Personal
Languages
- Korean - Native
- English - Fluent