CV

Co-founder & CEO

BreathYou

Digital health startup focused on allergy and respiratory AI, developing DeepBreath CDSS and MediPipe.

• Selected for 2025 Pre-startup Package
• DeepBreath CDSS: Clinical decision support for predicting pulmonary function decline trajectories
• MediPipe: OCR/NLP pipeline for medical record processing

Researcher (2024 – present) · Industrial Technical Personnel — Alternative Military Service (2022 – 2024)

AITRICS

Medical data (RWD) cleaning, analysis pipeline construction, predictive model development, and external validation. Contributed to the cardiac arrest early-warning model that obtained MFDS (Korean FDA) approval as an AI medical device, and currently leading product development of a self-developed AKI prediction model toward MFDS approval.

• Research design for clinical data analysis projects
• Data extraction and cleaning from multi-center hospitals
• Automated data analysis pipelines using Airflow
• Deep learning-based clinical time-series prediction models
• Clinical simulation-based model evaluation and survival analysis
• Cardiac arrest prediction model — supported MFDS approval as an AI medical device
• AKI prediction model — developed the model and currently leading productization toward MFDS approval

Biosignal AI Research Engineer

Exosystems

Deep learning-based EMG modeling for Muscle Quality monitoring.

• RNN, CRNN-based Muscle Quality time-series prediction model development
• Clinical validation-oriented AI model evaluation

Research Fellow

Incheon National University

• EMG-based real-time hand gesture recognition algorithm R&D
• Deep learning-based ECG modeling for autonomic nervous system monitoring

Research Fellow

Samsung Medical Center & SAIHST

EHR data extraction and analysis from CDW; development of ML-based CDSS.

• Data cleaning and health checkup database construction
• Text mining of unstructured medical records
• Statistical analysis and predictive/diagnostic model development

PhD Student

Sungkyunkwan University (SAIHST)

Digital Health

• Advisor: Prof. Byung-Jae Lee
• Research on Transformer-based trajectory models of respiratory health

Master of Science

Sungkyunkwan University (SAIHST)

Digital Health

• Advisor: Prof. Mira Kang
• M Lab. — Statistical analysis and predictive model development using medical big data

Bachelor of Science

Incheon National University

Electronic Engineering & Computational Neuroscience

• Advisor: Prof. Sangwon Byun
• Bioelectronics Lab. — Biosignal (ECG, EMG) data collection, signal analysis, and real-time prediction model development

Human Understanding AI Paper Competition — Top 7 & ETRI Director's Award

ETRI, Ministry of Science and ICT

Multimodal Attention-based Korean emotion recognition model combining RoBERTa (Text) and Wav2vec 2.0 (Audio)

OCR AI Training Data Hackathon — Excellence Award

Ministry of Science and ICT, NIA

AI-Assisted OCR Annotation System for pharmaceutical products (CRAFT-based)

Medical Information Analysis Expert Advanced Course — Grand Prize

Ministry of Health and Welfare, Asan Medical Center

Real-time BIS prediction model using intraoperative EEG data (25-second lookahead)

Medical AI Expert Training Course — Excellence Award

Korea Human Resource Development Institute for Health & Welfare

30-day mortality and ICU admission prediction model using preoperative and intraoperative vital signs

STAR Program Paper Presentation — Grand Prize

DSP-IN-U Smart Device Talent Development Program

EMG-based real-time hand gesture prediction model development