Hi everyone! π
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 enhancing the quality of physiological signals, and 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
Skills
News β¨
2025-04
I attended CHI 2025 in Yokohama, Japan πΈ
2024-07
I visited SIGCHI Korea Local Chapter summer event π³οΈ
2024-02
I started my master's program at KAIST, advised by Prof. Uichin Lee π
Research Interests
Affective Computing
Analyzing emotional and mental states using multimodal signals such as speech and physiological data
Signal Processing
Developing signal processing methods to improve the quality and usability of real-world sensor data
Projects
Enhancing Signal Quality Indices for Real-World PPG Signals
Improving the reliability of physiological data through real-world PPG signal quality assessment
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.
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.
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 β 2025.06)
Honors and Awards π
Experience
Teaching & Academic Support
Photos πΈ
2025 | CHI Conference in Yokohama πΈ