Gyuna Kim
Gyuna Kim
Gyuna Kim

Gyuna Kim (κΉ€κ·œλ‚˜)

Digital Health and HCI Researcher

Daejeon, Republic of Korea

Hi everyone! πŸ‘‹

I am a master's student at KAIST ICLab, advised by Prof. Uichin Lee. My research spans various areas of digital health β€” from modeling human states using multimodal data, to designing evaluative tools. While the specific topics differ, they all share a common goal: leveraging everyday data and technology to support better health outcomes. Ultimately, I aim to help build systems that make digital health support more effective, interpretable, and adaptable across different contexts.

Education

M.S. in Graduate School of Data Science

KAIST

2024.02 - Present

B.S. in Industrial Engineering

UNIST

2020.02 - 2024.02

Skills

Human-Computer InteractionMultimodal Data AnalysisMachine Learning/Deep LearningDigital PhenotypingSignal ProcessingVisual Analytics

News ✨

2025-04

I attended CHI 2025 in Yokohama, Japan 🌸

2024-07

I visited SIGCHI Korea Local Chapter summer event πŸ›³οΈ

2024-02

I started my master's program at KAIST, advised by Prof. Uichin Lee 🎊

Research Interests

Affective Computing

Analyzing emotional and mental states using multimodal signals such as speech and physiological data

Multimodal Data AnalysisEmotion RecognitionMental Health

Interactive System

Designing interactive systems and visualizations to support digital mental health monitoring and interpretation

Interactive SystemVisualizationData Storytelling

Projects

Interactive Reporting System for Digital Health Data

Interactive Reporting System for Digital Health Data

Designing an interactive reporting system that helps evaluators interpret and explore digital health data with clarity and flexibility.

Period:2024-08 - 2025-08
Role:Design and Research Lead
Skills:
FigmaUser StudyVisualization
Developing a mood detection model using Multi-Modal Data

Developing a mood detection model using Multi-Modal Data

Developing a model to detect depression and anxiety using speech and sensor data from wearable, mobile, and IoT devices. This project is being conducted in collaboration with LG Electronics.πŸ’» GitHub repository

Period:2024-03 - 2025-05
Role:Deep Learning Model Development
Skills:
PyTorchSpeech Emotion Recognition
Predicting Workload Stress in Call Center Employees

Predicting Workload Stress in Call Center Employees

Developed a model to predict call center workload by combining audio and text data. Funded by NRF Graduate Research Fellowship for Master's Students (2024.07 – 2025.06)πŸ’» GitHub repository

Period:2024-07 - 2025-05
Role:Multimodal Model Development
Skills:
PyTorchHugging FaceAudio Processing

Honors and Awards πŸ†

2024
Graduate Research Fellowship for Master's Students - National Research Foundation of Korea (NRF)
2022
Encouragement Prize, 2022 KAIST-POSTECH-UNIST Data Science Competition - KAIST
2022
Second Prize, UNIST Pre-I-Corps - UNIST
2021
First Prize, AI Challenger Program - UNIST
2021
Second Prize, Gyeonggi Content Agency Agile Hackathon - Gyeonggi Content Agency
2020
Advance to Finals, Smart Maritime Logistics Entrepreneurship Contest - UNIST

Experience

Teaching & Academic Support

Teaching Assistant, CS565_DS522 IoT Data Science

KAIST

2025 Spring

Student Supporter, Starmooc Lecture Video Production

UNIST

Jul 2022 – Oct 2022

Work & Internship

Research Intern (Mentor: Duri Lee, Advisor: Uichin Lee)

KAIST ICLab

Jan 2024 – Feb 2024

Data Analysis Intern Researcher

INTERX in Ulsan, Korea

Feb 2022 – Feb 2023

Data Analyst and UI/UX Designer

Travel Startup in Ulsan, Korea

Feb 2021 – Aug 2021

Photos πŸ“Έ

Photo 1

2025 | CHI Conference in Yokohama 🌸