Curriculum vitae (PDF) here.
Excluded: Selected Activities, Before KAIST

Research Interests

Applied artificial intelligence (AI), including generative AI for protein design, AI for social good, data science for humanity, and large language models (LLMs). My current research focuses on diffusion-based methods for antigen-conditioned antibody sequence and structure co-design.

Education

Master of Science (M.Sc.) in Computer Science, KAIST, Daejeon, Korea, 2024–2026

• • Advisors: Prof. Tae-Kyun Kim, Prof. Ho Min Kim, Prof. Meeyoung Cha (unofficial)

  • CGPA: 4.10/4.3

Bachelor of Science (B.Sc.) in Electrical Engineering, KAIST, Daejeon, Korea, 2020–2024

• • AI Special Designated Major, Minor in Chemical and Biomolecular Engineering

  • CGPA: 4.04/4.3 – Summa Cum Laude

Selected Skills

• Programming Language: Python, C/C++, Java, MATLAB, LaTeX, Markdown, HTML, Bash, Prolog, IA-32 Assembly

• Development Tools: Git, Anaconda, MySQL, MariaDB, PyMOL, GCP, Hadoop, TensorBoard, Weights & Biases, ROS, Verilog, GDB, CMake, Valgrind, Slurm, VSCode, Vi/Vim, Emacs, etc.

• Python Packages: sklearn, torch, pandas, numpy, scipy, seaborn, matplotlib, biopython, pyrosetta, gym, openai, requests, bs4, selenium, HuggingFace packages (transformers, peft, gradio, etc.), etc.

• Languages: English (TOEFL iBT 114/120), Korean (TOPIK Level 6, 266/300), Indonesian (native)

Publications, Posters, and Talks

Publication list here or in Google Scholar.
Posters and Talks list here.

Selected Research Experience

*Internship

Graduate Research Assistant, KAIST, Daejeon, Korea
KAIST Computer Vision and Learning Lab (PI: Prof. Tae-Kyun Kim), 2024.09–present
Data Science Laboratory (PI: Prof. Meeyoung Cha), 2024.02–present
Lab for Integrated Protein Design & Structure (PI: Prof. Ho Min Kim), 2024.02–present

• AI for protein design with a focus on antigen-conditioned antibody design

• Multimodal AI and large language models for social good

Visiting Student, MPI-SP, Bochum, Germany
Data Science for Humanity Group* (PI: Prof. Meeyoung Cha), 2024.02–present

• Internship period: 2025.03–2025.08

Visiting Student, Institute for Basic Science (IBS), Daejeon, Korea
Data Science Group* (PI: Prof. Meeyoung Cha), 2023.07–2024.09
Protein Communication Group (PI: Prof. Ho Min Kim), 2023.07–2024.09

• Internship period: 2024.03–2024.08

Undergraduate Research Assistant, KAIST, Daejeon, Korea
Data Science Laboratory* (PI: Prof. Meeyoung Cha), 2023.07–2024.02
Lab for Integrated Protein Design & Structure (PI: Prof. Ho Min Kim), 2023.07–2024.02

• Evaluation of graph-based antibody side chain reconstruction

• Development of an in silico validation framework for protein binder designs

• Graph and diffusion-based generative AI for antibody design    

Data Intelligence Lab (PI: Prof. Steven Euijong Whang), 2022.09–2023.06

• Comprehension and algorithm analysis of the mining of massive datasets

• Fair AI-based drug-target interaction models for in silico drug repurposing

Urban Robotics Lab (PI: Prof. Hyun Myung), 2021.12–2022.06

• ROS, 3D vision, visual simultaneous localization and mapping (SLAM)

• Feature detection and tracking in monocular visual-inertial state estimators

Operating Systems Laboratory (PI: Prof. Youjip Won), 2021.06–2021.08

• Building a small 64-bit operating system for the x86 architecture

Industrial Experience

*Internship

Student Intern, United Nations (UN), New York City, NY, USA
Department of Economic and Social Affairs (DESA, Supervisor: Junho Lee), 2025.06–present

• Assisting a consultancy on AI-based monitoring automation of e-governance development

Project Member, Daewoong Pharmaceutical Co., Ltd., Seoul, Korea
AI Promotion Team (Supervisor: Jiseon Jang), 2022.05–2024.12

• Design, implementation, and maintenance of (i) website, article, paper, and Q&A scrapers; (ii) AI-based article summarization and trend analysis methods; (iii) LLM-based article and paper-summarizing chatbot; (iv) NLP and graph-based keyword extraction methods; (v) LLM-based draft generator; (vi) API and LLM-based article translators; (vii) email notification system; (viii) frequently asked question identification algorithm; (ix) language encoder-based question clustering and ranking methods; (x) customized YouTube scraper; and (xi) relevant platforms

• Content Topics: Trends in drug development, pharmaceuticals, health, and healthcare

• Related Departments and Services: Non-Clinical Research Team (iN Therapeutics), HiDoc (Mcircle Corp.), Dr. Ville (Mcircle Corp.)

Drug Discovery Center* (Supervisor: Gayoung La), 2021.05–2021.08

• Drug, ligand, target, and interaction data acquisition, preprocessing, and relational database building for novel drug development with AI-based drug-target interaction learning models

• Work experience program period: 2021.07–2021.08

Selected Teaching

KAIST, Daejeon, Korea

• Teaching Assistant, CS101 Introduction to Programming, Spring & Fall 2022, Fall 2023

• Freshman Proctor, HSS090 Happy College Life, Spring 2022

• Freshman Proctor, HSS091 Exciting College Life, Fall 2021

• Education Mentor, Science Program Level 3 of LG Sarang Multicultural School, Fall 2021

Selected Honors and Awards

• KAIST Global Presidential Scholarship, 2024–2026

• The 3rd–7th Daewoong AI–Big Data Global Scholarship Program, 2022–2024

• KAIST Scholarship for International Undergraduate Students, 2020–2024

• Dean's List in Spring 2023, College of Engineering, KAIST, 2023

• Global Korea Scholarship Excellent Self-Financing International Student Scholarship, NIIED, 2021, 2023

• The 11th Lee&Won Asian Fellowship Program (with 2 Academic Excellence Awards), 2022

• Daewoong Global Scholarship Program 2021, 2021

References

• Prof. Meeyoung Cha, internship & M.Sc. (unofficial) advisor
  Scientific Director, MPI-SP
  Professor, School of Computing, KAIST
  mia.cha (at) mpi-sp.org

• Dr. Luiz Felipe Vecchietti, internship & M.Sc. mentor
  Postdoctoral Researcher, MPI-SP
  felipe.vecchietti (at) mpi-sp.org

• Prof. Tae-Kyun Kim, M.Sc. advisor
  Professor, School of Computing, KAIST
  kimtaekyun (at) kaist.ac.kr

• Prof. Ho Min Kim, internship & M.Sc. co-advisor
  Professor, Department of Biological Sciences, KAIST
  Chief Investigator, Center for  Biomolecular and Cellular Structure, IBS
  hm_kim (at) kaist.ac.kr

• Prof. Steven Euijong Whang, B.Sc. advisor
  Associate Professor, School of Electrical Engineering, KAIST
  swhang (at) kaist.ac.kr