KwonKo
Kwon Ko Curriculum Vitae

I am a Computer Science Ph.D. student at Stanford University. Here, I work with Shaul. My research focuses on learning how different regions of the human brain in both hemispheres interact during speech in different words, to better identify target areas for Brain-Computer Interfaces (BCIs) implantation.

On a personal level, I have developed research interest in the m erge of human cognition with AI through BCIs, where humans themselves become the next platform. So I am currently writing one paper titled As We May Merge: Rise of the Human Platform. I also plan to share my vision on YouTube.

About

I studied physics (BS, dropout), math (BS), industrial engineering (BS, minor), and computer science (MS). Now I am studying neuroscience (PhD).

Previously, I served in the ROK Army (21 months) and worked at broadcasting company (7 months), nonprofit organization (6 months), consulting firm (3 months), manufacturing company (2 months), big tech (19 months), and IT startup (5 months).

YouTube
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Community Service

30-Minute Chat

I am open to discussing research ideas, exploring collaborations, offering technical advice, or supporting startups and tech-focused individuals. I am also happy to assist with career guidance, PhD applications, or general advice on graduate life.

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PhD Application Materials

I am sharing my application materials for those preparing for PhD admissions: 1) Statement of Purpose, 2) Personal Statement, 3) Interview Notes

Personal

These days, I practice calisthenics like handstand push-ups. I log my daily life to keep track of life's beautiful moments I may not want to forget. I love connecting with new people. I own more than 400 comic books and enjoy watching films and reading novels and poems. I really love this quote:

Dance like nobody's watching; Love like you've never been hurt; Work like you don't need money; Live like it's heaven on earth.
News
Sep 2025 Back at Stanford, working on human speech BCI project
Jun 2025 Started my internship at Microsoft Research in Redmond, WA
Mar 2025 Joined Druckmann Lab for neuroscience research
Sep 2024 Admitted to Stanford University for my Ph.D. studies in Computer Science
May 2024 Started working as a research engineer at SkillWave, Inc.
Apr 2024 Invited for a talk at Sungkyunkwan University and Seoul National University
Jan 2024 Chart-LLM is accepted to CHI 2024
Sep 2023 Nominated as Fulbright scholarship recipient
Aug 2023 Two papers are accepted to VIS 2023 and NLVIZ Workshop, respectively!
Mar 2023 ExGPTer is accepted to CHI 2023 Gen-AI workshop!
Jan 2023 Our paper about DALL-E is accepted to IUI 2023!
Nov 2022 My interview with IEEE Computer Society was published!
Oct 2022 Attend UIST 2022 in person to present my work, perform SV-ing, and give a lightning talk! Received Gary Marsden Travel Awards to support my trip.
Jun 2022 Two papers, UMATO and We-toon, are accepted to IEEE VIS 2022 and ACM UIST 2022, respectively!
Jun 2022 Move to KAIST at Daejeon, Korea to collaborate with KIXLAB led by Prof. Juho Kim.
Oct 2021 Get a full-time posiiton as a research scientist at Naver Webtoon Corp.
Apr 2021 Graduate from Seoul National University receiving Master's degree in Computer Science and Engineering under the supervision of Prof. Jinwook Seo (specialty: HCI, InfoVis)
Publications
UMATO2

UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction

Hyeon Jeon, Kwon Ko, Soohyun Lee, Jake Hyun, Taehyun Yang, Gyehun Go, Jaemin Jo, Jinwook Seo

TVCG 2025

Distortion-Aware Brushing

Distortion-Aware Brushing for Interactive Cluster Analysis in Multidimensional Projections

Hyeon Jeon, Michael Aupetit, Soohyun Lee, Kwon Ko, Youngtaek Kim, Jinwook Seo

TVCG 2025

ChatGPT in Data Visualization Education

ChatGPT in Data Visualization Education: A Student Perspective

Nam Wook Kim, Kwon Ko, Grace Myers, Benjamin Bach

VL/HCC 2024

Chart-LLM

Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models

Kwon Ko, Hyeon Jeon, Gwanmo Park, Dae Hyun Kim, Nam Wook Kim, Juho Kim, Jinwook Seo

CHI 2024

Zadu

Zadu: A python library for evaluating the reliability of dimensionality reduction embeddings

Hyeon Jeon, Aeri Cho, Jinhwa Jang, Soohyun Lee, Jake Hyun, Kwon Ko, Jaemin Jo, Jinwook Seo

VIS 2023 short

Large-scale Text-to-Image Generation Models

Large-scale Text-to-Image Generation Models for Visual Artists' Creative Work

Kwon Ko, Gwanmo Park, Hyeon Jeon, Jaemin Jo, Juho Kim, Jinwook Seo

IUI 2023

ExGPTer

Moderating Customer Inquiries and Responses to Alleviate Stress and Reduce Emotional Dissonance of Customer Service Representatives

Kwon Ko, Kihoon Son, Hyoungwook Jin, Yoonseo Choi, Xiang Anthony Chen

CHI 2023 Generative AI and HCI Workshop

We-toon

We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision

Kwon Ko*, Subin An*, Gwanmo Park, Seung Kwon Kim, Daesik Kim, Bohyoung Kim, Jaemin Jo, Jinwook Seo

UIST 2022

UMATO

Uniform Manifold Approximation with Two-phase Optimization

Hyeon Jeon*, Kwon Ko*, Soohyun Lee, Jaemin Jo, Jinwook Seo

VIS 2022 short

Steadiness and Cohesiveness

Measuring and explaining the inter-cluster reliability of multidimensional projections

Hyeon Jeon, Kwon Ko, Jaemin Jo, Youngtaek Kim, Jinwook Seo

TVCG 2021 (Proc. VIS 2021)

Medical Invoice

Mixed-Initiative Approach to Extract Data from Pictures of Medical Invoice

Seokweon Jung, Kiroong Choe, Seokhyeon Park, Kwon Ko, Youngtaek Kim, Jinwook Seo

PacificVis 2021 short

Progressive UMAP

Progressive Uniform Manifold Approximation and Projection

Kwon Ko, Jaemin Jo, Jinwook Seo

EuroVis 2020 short

Projects
Abstract Sketch to Character

Abstract Sketch to Character

Spring 2022

Convert human-drawn abstract sketch image to an anime character with varying styles

Playing Atari with DQN

Playing Atari with DQN

Winter 2019

Implemented DQN algorithm (Mnih et al. 2013) that can play one of the Atari games, 'Pong', and can beat the opponent

Musical Structure Visualization

Musical Structure Visualization with MIDI Data

Fall 2019

Information Visualization project at SNU

Korean Web Novel Generation

Korean Web Novel Generation

Spring 2018 - Summer 2018

Made deep learning-based Korean sentence recommender. Received 20,000,000 KRW of prize money.

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