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

JUL '22 – FEB '23 | NOV '25 – CONT. (15 MOS.)
Undergraduate Researcher | Pohang, Republic of Korea

Programmable chemical patterns using audible sound

MATLAB ImageJ Directed Self-Assembly System Chemistry Materials Chemistry
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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

[View Full Project]
My Role
  • 실험 환경 셋업 및 모델 성능 평가

Poster: Korean Chemical Society (KCS) Conf. /

Programmer Analyst
  • 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
Dec 2018 - July 2019 | Ahmedabad, India

Projects

image
Programmable Spatiotemproral Control of Chemical Processes

Sound controlled chemical reaction

#Systems Chemistry #Materials Chemistry

Kimoon Kim Research Group, POSTECH

Research Summary

Problem
Classical models fail to describe dense ionic systems

Approach
Molecular dynamics simulations with explicit solvent

Key Insight
Ion correlations reshape interfacial behavior

Screenshot of web app
Blog Web-App

A simple and extensible blog web-app based on Flask.

Accomplishments
  • Tools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
  • Users can view posts and contact the admin via Contact Page.
  • Admin can Add, Delete, Update posts.

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

Arizona State University

Tempe, USA

Degree: Master of Science in Computer Science
CGPA: 4.0/4.0

    Relevant Courseworks:

    • Distributed Database Systems
    • Cloud Computing
    • Foundations of Algorithms

School of Engineering and Applied Science, Ahmedabad University

Ahmedabad, India

Degree: Bachelor of Technology in Information and Communication Technology
CGPA: 3.13/4.33

    Relevant Courseworks:

    • Data Structures and Algorithms
    • Database Management Systems
    • Operating Systems
    • Machine Learning
    • Computer Vision

Contact