Hello! 안녕! I am Jason Choi (최지원), a Software Engineer at Match Group based in Seoul.

Before joining Match Group, I was a Research Assistant at Interactive Data Computing Lab, under the supervision of Prof. Jaemin Jo. I also interned at NAVER HyperCLOVA and 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 and develop interactive techniques. My work has been published in leading visualization venues, including IEEE VIS, IEEE PacificVis, and EG/IEEE EuroVis.

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

  1. Aug 2025

    🚀 Excited to join Match Group as a Software Engineer!

  2. May 2025

    🎉 New personal website launched!

Career

  1. Seoul, Korea

    Aug 2025 —Present

    Research and develop novel ML-powered user experiences for online dating applications (e.g., Hinge, Tinder).

  2. Seongnam, Korea

    Feb 2025 —May 2025

    DataLab: Progressive Exploratory Data Analysis System for VLM Data Filtering and Curation

    • Designed an interactive system for efficiently exploring large-scale datasets for ML researchers.
    • Reduced resource occupation to 0.1%, expanded exploration range by 10x, and cut loading time to under 5%.
  3. 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 PoC research on systems leveraging in-browser inference ML techniques.
    • Designed an automated color recommendation and assignment system for the existing no-code landing page design system.
  4. Suwon, Korea

    May 2021 —Jan 2025

    Published three papers on the top-tier venue of visualization (IEEE VIS, two first-authored, one co-authored), one second-tier venue (IEEE PacificVis, first-authored), and authored one under-review preprint.

    • 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)

Educations

  1. 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

  2. Sungkyunkwan University

    B.Sc. in Computer Science Education

    Seoul, Korea

    Mar 2019 —Aug 2023

    Public Teacher Certificate in Computer Science Education

Publications

  1. 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.

  2. 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), St. Pete Beach, USA, 2024.

  3. 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.

  4. 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.

  5. Jiwon Choi, Gwon Hong, and Jaemin Jo

    Proceedings of HCI Korea 2022, Seoul, Korea, 2022.

Miscellaneous

Academic Services

  1. Oct 2024

    Organizer, 2024 2nd Korea Visualization Workshop

  2. Apr 2023

    Student Volunteer, 2023 IEEE PacificVis Symposium

  3. Sep 2022 —Aug 2024

    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)
  4. Aug 2022 —Aug 2023

    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

  1. Feb 2025

    3rd Place Winner, SKKU Research Matters Plus

  2. Feb 2025

    1st Place Winner, Outstanding Research Award

    The sole master’s among the three awardees

  3. Jan 2024

    Provost's Award, 2024 SKKU TA Award

    Given to 18 TAs on SKKU, Best TA in the College of Computing. Course: Introduction to HCI (2023 Fall)

  4. Jan 2023

    1st Place Winner, 2023 SPARCS Startup Hackathon

  5. Dec 2022

    3rd Place Winner, 2022 SKKU AI-SW Capstone Design Project Contest

  6. Sep 2022

    1st Place Winner, 2022 SKKU AI-Education Hackathon

  7. Jan 2022

    1st Place Winner, Monothon Hackathon

  8. Dec 2021

    3rd Place Winner, 2021 SKKU AI-SW Capstone Design Project Contest

  9. Oct 2021

    3rd Place Winner, KSII 2021 Fall Conference Ideathon

  10. Oct 2021

    2nd Place Winner, 2021 SKKU AI-Education Hackathon

  11. Nov 2020

    3rd Place Winner, 2020 KSIE 4th Industrial Revolution Competition

  12. Oct 2012

    1st Place Winner, Seongdong Institute of Computing for Gifted

Scholarships

  1. Jun 2024

    Scholarship, 2024 Spring Shim-San Scholarship

  2. Dec 2023

    Scholarship, 2023 Fall Shim-San Scholarship

  3. Sep 2023

    Scholarship, SKKU Graduate School Scholarship

Talks

  1. Oct 2024

    Speaker, 2024 2nd Korea Visualization Workshop

    Bavisitter: Integrating Design Guidelines into Large Language Models for Visualization Authoring

  2. Dec 2022

    Speaker, 2022 SKKU CSE Research Story

    Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning

  3. Oct 2022

    Speaker, 2022 SKKU AI Colloquium

    Intentable: A Mixed-Initiative System for Intent-Based Chart Captioning

Skills

  1. Frontend

    React, TypeScript, Visualization (D3, visx, Vega, vis.gl, …)

  2. Backend

    Python, FastAPI, Docker, PostgreSQL, Celery, Redis, AWS (S3, EC2, …), CI/CD (GitHub Actions)

  3. AI/ML

    PyTorch, HuggingFace, NLP

  4. Design

    Figma, Illustrator, Photoshop, Prototyping, User Research

  5. Language

    Korean (Native), English (Fluent)