Hi, I'm Yungyeom An.
A Materials Scientist | Soft Matter & Interfacial Systems
I study how molecular-scale interactions change the structure and behavior of soft matter systems, including polymers, interfacial assemblies and hydrogels.
My work combines molecular simulations, synthesis, and spectroscopy to understand structure–property relationships in soft matter systems.
About
I am a materials scientist interested in how molecular interactions can be used to design functional soft materials. I study how weak and dynamic intermolecular and interfacial interactions translate into macroscopic material behavior and structure-property relationships. I also want to extend this to biologically relevant systems.
My work combines experimental characterization and molecular simulations to probe these interactions across diverse soft matter systems. I have worked on a range of systems including hydrogen bonding in water, interfacial interactions in polymers, electrostatic effects in confined ionic liquids, and self-assembled soft materials.
I received my B.S. in Chemistry from POSTECH and I will begin my Ph.D. in Fall 2026. Currently, I am finalizing my research manuscript at the Kimoon Kim Research Group. I am also working as an intern at the Ministry of Science and ICT, where I engage with the broader research ecosystem.
With experience in both experimental and computational approaches, I enjoy working across disciplines and discussing awesome ideas with people from different backgrounds.
Experience
Center for Self-assembly and Complexiy
Programmable chemical patterns using audible sound
Overview
Advisor: Prof. Kimoon Kim
[주제] 실시간 데이터 기반의 알고리즘 최적화 연구
[방법] 머신러닝 기법을 활용한 패턴 추출 및 검증
[결과] 기존 모델 대비 정확도 12% 향상 및 논문 투고 완료
My Role
- 실험 환경 셋업 및 모델 성능 평가
Poster: Korean Chemical Society (KCS) Conf. /
- Customized a tree-based optimization algorithm that separates drugs into distinct groups to maximize the concurrent execution of drug dispenser robots; improved an optimization algorithm that reduced the cycle-time of the automation process by 25%.
- Devised a customized recursion algorithm to extend the functionality of the current environment to a multi-robot and multi-system environment
- Tools: Python, Flask, OpenCV, Keras, Tensorflow, PyTorch
Projects
Sound controlled chemical reaction
Kimoon Kim Research Group, POSTECH
Mentorship & Service
Languages and Databases
Python
HTML5
CSS3
MySQL
PostgreSQL
Shell Scripting
Libraries
NumPy
Pandas
OpenCV
scikit-learn
matplotlib
Frameworks
Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch
Other
Git
AWS
Heroku
Education
Tempe, USA
Degree: Master of Science in Computer Science
CGPA: 4.0/4.0
- Distributed Database Systems
- Cloud Computing
- Foundations of Algorithms
Relevant Courseworks:
School of Engineering and Applied Science, Ahmedabad University
Ahmedabad, India
Degree: Bachelor of Technology in Information and Communication Technology
CGPA: 3.13/4.33
- Data Structures and Algorithms
- Database Management Systems
- Operating Systems
- Machine Learning
- Computer Vision
Relevant Courseworks:
