Hello! 안녕! I am Jason Choi (최지원), a Software Engineer and Research Scientist specializing in Information Visualization and Human-Computer Interaction (HCI). I previously served as a Research Assistant at the Interactive Data Computing Lab, under the supervision of Prof. Jaemin Jo. My industry experience includes internships as a Research Engineer at NAVER HyperCLOVA and as a Frontend Software Engineering Intern at NAVER Smart Studio.
My research focuses on automating data analysis to make these tasks more accessible to a broader audience. To this end, I design novel algorithms, leveraging algorithms such as deep learning, and develop interaction techniques. My work has been published in leading visualization venues, including IEEE VIS, IEEE PacificVis, and EG/IEEE EuroVis. I am also passionate about translating my research into practical, open-source software using modern web technologies.
I received a Master of Engineering degree in Computer Science & Engineering in 2025, and a Bachelor of Science degree in Computer Science Education in 2023 from Sungkyunkwan University.
News
May 2025
🎉 New personal website launched!
Experiences
NAVER Cloud
Research Engineer Intern @ Vision Understanding, HyperCLOVA
Seongnam, Korea
Feb. 2025 ─ May 2025
DataLab: Progressive Exploratory Data Analysis System for VLM Data Filtering and Curation
- Conducted expert interviews to identify pain points in data filtering workflows
- Designed and implemented an interactive interface for efficiently exploring large-scale visual instruction datasets
- Developed visualization tools to evaluate filtering algorithm effectiveness and support iterative refinement
- Built full-stack system with React frontend and FastAPI backend to process large-scale vision-language datasets interactively
Sungkyunkwan University
Research Assistant @ Interactive Data Computing Lab (IDCLab)
Suwon, Korea
May 2021 ─ Jan. 2025
- Machine learning-based automated data analysis and visual analytics systems (Machine Learning for Visualization)
- Visualization techniques for understanding complex data and models (Visualization for Machine Learning)
NAVER
Software Engineer Intern @ nBilly, Smart Studio, ETECH
Seongnam, Korea
Jan. 2024 ─ Feb. 2024
BoBAI: Color Design Recommendation and Assignment System Leveraging In-browser ML Inference
- Conducted formative research through expert interviews and thematic analysis to define user needs
- Designed novel workflow combining expert knowledge with automation algorithms for color designing of landing page
- Developed color recommendation and assignment algorithms optimized for landing page design
- Implemented browser-based machine learning pipeline with text encoder, vector database, and MCTS modules
- Created React component library for the interactive color design interface
Educations
Sungkyunkwan University
M.Eng. in Computer Science and Engineering
Suwon, Korea
Sep. 2023 ─ Feb. 2025
Data Visualization and Human-Computer (AI) Interaction, Advisor: Prof. Jaemin Jo
Sungkyunkwan University
B.Sc. in Computer Science Education
Seoul, Korea
Mar. 2019 ─ Aug. 2023
Public Teacher Certificate in Computer Science Education
Publications
Waltzboard: Multi-Criteria Automated Dashboard Design for Exploratory Analysis
Jiwon Choi and Jaemin Jo
Proceedings of 2025 IEEE Pacific Visualization Conference (IEEE PacificVis), Taipei, Taiwan, 2025.
Bavisitter: Integrating Design Guidelines into Large Language Models for Visualization Authoring
Jiwon Choi, Jaeung Lee, and Jaemin Jo
Proceedings of Conference on 2024 IEEE Visualization and Visual Analytics (IEEE VIS), Tampa Bay, USA, 2024.
Projection Ensemble: Visualizing the Robust Structures of Multidimensional Projections
Myeongwon Jung, Jiwon Choi, and Jaemin Jo
Proceedings of Conference on 2023 IEEE Visualization and Visual Analytics (IEEE VIS), Melbourne, Australia, 2023.
Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning
Jiwon Choi and Jaemin Jo
Proceedings of Conference on 2022 IEEE Visualization and Visual Analytics (IEEE VIS), Oklahoma City, USA, 2022.
VANAS: A Visual Analytics System for Neural Architecture Search
Jiwon Choi, Gwon Hong, and Jaemin Jo
Proceedings of HCI Korea 2022, Seoul, Korea, 2022.
Miscellaneous
Academic Services
Oct. 2024
Organizer, 2024 2nd Korea Visualization Workshop
Apr. 2023
Student Volunteer, 2023 IEEE PacificVis Symposium
Teaching Assistant, Sungkyunkwan University
SKKU Computer Science and Engineering:
- Open-source Software Practice (2022 Fall)
- Information Visualization (2023 Spring, 2024 Spring)
- Introduction to HCI (2022 Fall, 2023 Fall, 2024 Fall)
- Introduction to Data Structure (2024 Spring)
Lecturer, Sungkyunkwan University
Paid lecturer for the following courses:
- ROKA Military AI Course (2022 Summer, Data Visualization)
- Summer Bootcamp for Dept. of Applied AI (2023 Summer, Open-Source Software, Web Development)
Honors & Awards
Feb. 2025
3rd Place Winner, SKKU Research Matters Plus
Feb. 2025
1st Place Winner, Outstanding Research Award
The sole master’s among the three awardees
Jan. 2024
Provost's Award, 2024 SKKU TA Award
Given to 18 TAs on SKKU, Best TA in College of Computing. Cource: Introduction to HCI (2023 Fall)
Jan. 2023
1st Place Winner, 2023 SPARCS Startup Hackathon
Dec. 2022
3rd Place Winner, 2022 SKKU AI-SW Capstone Design Project Contest
Sep. 2022
1st Place Winner, 2022 SKKU AI-Education Hackathon
Jan. 2022
1st Place Winner, Monothon Hackathon
Dec. 2021
3rd Place Winner, 2021 SKKU AI-SW Capstone Design Project Contest
Oct. 2021
3rd Place Winner, KSII 2021 Fall Conference Ideathon
Oct. 2021
2nd Place Winner, 2021 SKKU AI-Education Hackathon
Nov. 2020
3rd Place Winner, 2020 KSIE 4th Industrial Revolution Competition
Oct. 2012
1st Place Winner, Seongdong Institute of Computing for Gifted
Scholarships
Jun. 2024
Scholarship, 2024 Spring Shim-San Scholarship
Dec. 2023
Scholarship, 2023 Fall Shim-San Scholarship
Sep. 2023
Scholarship, SKKU Graduate School Scholarship
Talks
Oct. 2024
Presenter, 2024 2nd Korea Visualization Workshop
Bavisitter: Integrating Design Guidelines into Large Language Models for Visualization Authoring
Dec. 2022
Presenter, 2022 SKKU CSE Research Story
Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning
Oct. 2022
Presenter, 2022 SKKU AI Colloquium
Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning
Skills
Frontend
React, TypeScript, Visualization (D3, visx, Vega, vis.gl, …)
Backend
Python, FastAPI, Docker, PostgreSQL, Celery, Redis, AWS (S3, EC2, …), CI/CD (GitHub Actions)
AI/ML
PyTorch, HuggingFace, NLP
Design
Figma, Illustrator, Photoshop, Prototyping, User Research
Language
Korean (Native), English (Fluent)