About me
Last updated: 2025-09-18
More about me

Shinyoung Park
s.y.park@kaist.ac.kr / View CV as PDF
Research interests
- Physical, computational, and AI/ML chemistry
- Their applications across various areas of chemistry and materials science
Education
Korea Advanced Institute of Science and Technology (KAIST)
Daejeon, Korea
B.S. in Chemistry
Expected February 2026
• GPA: 4.27/4.30
Research Experience
Intelligent Chemistry Lab – KAIST Department of Chemistry
Daejeon, Korea
Undergraduate researcher with Prof. Woo Youn Kim
2022 – Present
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Developed the AutoCG package for generating input reactant/product conformations for a wide range of interpolation transition state (TS) search methods.
- Devised a novel stereochemical manipulation technique to obtain low-energy TS structures.
- Validated AutoCG with Gaussian and ORCA across three benchmark sets, comprising 32 reactions.
- Drafted and revised the manuscript published in J. Chem. Theory Comput. titled Facilitating Transition State Search with Minimal Conformational Sampling Using Reaction Graph.
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Developed MetalloGen, an automated tool for generating 3D conformers of organometallic complexes with challenging polydentate and polyhapto ligands.
- Proposed solutions for polyhapto ligand embedding and conformer refinement.
- Benchmarked MetalloGen with CREST and Gaussian on 80 organometallic complexes from diverse transition metal reactions and real-world catalytic mechanisms.
- Drafted the majority of the manuscript, currently submitted.
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Extended capabilities of ACE-Reaction, a graph-theoretic reaction network exploration method, as part of the Undergraduate Research Program.
- Proposed and implemented an atom mapping scheme for unbalanced reactions using mixed-integer linear programming with SciPy.
- Developed an autoregressive message passing neural network with PyTorch Geometric for sampling reactions within a defined activation barrier.
- Optimized HPC resource allocation of ACE-Reaction; reduced TS search computing cost by 20–30%.
Awards
National Science & Engineering Scholarship
2023 – 2024
Ministry of Science and ICT, Korea
• National award for top academic performance in STEM fields; full tuition for two years.
• National award for top academic performance in STEM fields; full tuition for two years.
Dean's List
Spring 2020, Spring 2022, Fall 2022, Spring 2023, Fall 2023
KAIST
Technical Skills
Programming and other Languages
Python, MATLAB, JavaScript, LaTeX, Markdown
Libraries
NumPy, SciPy, Matplotlib, RDKit, Plotly, PyTorch, PyTorch Geometric, scikit-learn
Developer Tools
Git, Bash, SSH, SLURM, Vim/Neovim, VS Code, JupyterLab, GitHub, GitHub Pages
Chemistry Tools
Gaussian, ORCA, MOPAC, xTB, CREST, ChemDraw, Avogadro, PyMOL, Mnova
Graphic Design Tools
Adobe Photoshop, Adobe Illustrator
English Proficiency
GRE: Verbal (170, 99%), Quantitative (170, 92%), Analytical Writing (4.5, 83%)
TOEFL: 116 (Reading: 30, Listening: 30, Speaking: 28, Writing: 28)
TOEFL: 116 (Reading: 30, Listening: 30, Speaking: 28, Writing: 28)
Academic Service
KAIST Department of Chemistry Student Council
Daejeon, Korea
Head of the Internationalization Team
Aug 2023 – Feb 2024
Member of the Design Team and the Academic Affairs Team
Mar 2022 – Aug 2023
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Founded the Internationalization Team to support international students and compiled
‘A Guide to the Department of Chemistry’, a comprehensive English-language resource featuring essential information, curated links, and practical guidance. - Supported international students by translating Korean announcements and documents into English and providing Korean-English interpretation at departmental events.
- Designed promotional materials, including pamphlets highlighting Department of Chemistry labs and their research for prospective undergraduate and graduate students.
- Coordinated the 2022 KAIST Chemie Camp, where high school students nationwide were invited to explore and experience cutting-edge chemistry research and education at KAIST.
Publications
- Lee, K.†; Lee, J.†; Park, S.†; Kim, W. Y. Facilitating Transition State Search with Minimal Conformational Sampling Using Reaction Graph. J. Chem. Theory Comput. 2025, 21 (5), 2487–2500. DOI: 10.1021/acs.jctc.4c01692 (†Equal contribution)
- Lee, K.; Park, S.; Park, M.; Kim, W. Y. MetalloGen: Automated 3D Conformer Generation for Diverse Coordination Complexes. Submitted.