people

PhD student in Digital Health at SAIHST, Sungkyunkwan University, advised by Professor Byung-Jae Lee, and AI researcher at AITRICS.

Interested in how machine learning becomes a clinically deployable medical device — from model design through regulatory approval.

Contributed to an MFDS-approved cardiac arrest early-warning AI medical device. Currently leading the productization of an AKI prediction model I developed, toward MFDS approval.

Co-founded BreathYou in 2025, a digital health startup focused on allergy and respiratory AI.

Professor at Sungkyunkwan University School of Medicine and Chief of the Department of Allergy and Clinical Immunology at Samsung Medical Center.

Kyung Hyun’s PhD advisor at SAIHST in Digital Health (target graduation August 2028). His clinical and research leadership in respiratory and allergic disease shapes Kyung Hyun’s thesis work centered on SMC’s 30-year longitudinal pulmonary function cohort — building Transformer-based trajectory models of respiratory health.

Corresponding author on the methacholine-challenge AI paper for asthma diagnosis (Allergy, Asthma & Immunology Research, 2024), the collaboration that first brought Kyung Hyun into his group.

Clinical Associate Professor at Samsung Medical Center, with a clinical appointment in endocrinology at the Health Promotion Center, and participating faculty at SAIHST, Sungkyunkwan University.

Kyung Hyun’s master’s advisor at SAIHST, where she directed the M Lab — the training ground where much of his clinical-cohort research instincts took shape. Supervised his master’s thesis on non-exercise prediction of cardiorespiratory fitness (VO2max) from large-scale SMC health-screening cohort data.

Co-first author on the longitudinal study of NAFLD and accelerated skeletal muscle mass loss (Hepatology, 2022), and corresponding author on several SMC cohort studies Kyung Hyun contributed to on cardiorespiratory fitness, vascular health, and related outcomes.

Professor in the Department of Electronic Engineering at Incheon National University, leading the Bioelectronics Laboratory.

Kyung Hyun’s undergraduate advisor — supervised his first SCI paper on EMG-based hand and finger gesture classification (Sensors, 2021), and introduced him to biosignal analysis that still anchors his research today.

Long-term collaborator on heart rate variability and the autonomic nervous system, as corresponding author on the RR-interval–based age prediction study (Applied Sciences, 2023) and the deep-learning stress-detection work across depression and panic disorder (Frontiers in Psychiatry, 2025). Also a co-author on the AI-based methacholine-challenge asthma diagnosis paper (AAIR, 2024) bridging the respiratory and biosignal threads of the work.

Google Scholar: profile

Clinical Associate Professor at Samsung Medical Center, specializing in allergy and clinical immunology, with her clinical practice at the Health Promotion Center, and participating faculty at SAIHST, Sungkyunkwan University.

An academic mentor to Kyung Hyun since his master’s training at SAIHST, and a continuing source of guidance on respiratory and allergy research over the years.

Co-author with Kyung Hyun on the AI-based asthma diagnosis study using methacholine challenge tests (Allergy, Asthma & Immunology Research, 2024).

Clinical Assistant Professor at Hallym University Chuncheon Sacred Heart Hospital, in the Division of Pulmonology, Allergy and Critical Care Medicine — leading prospective clinical validation of AI-based early-warning systems in general wards and ICUs.

A long-term clinical collaborator on the deterioration-prediction line of work with AITRICS — co-corresponding author on the prospective external validation of the early-warning system in South Korean general wards (Acute and Critical Care, 2025) and on the sepsis algorithm validation study (BMJ Health & Care Informatics, 2025). Co-first author with Kyung Hyun on the pneumonia-associated sepsis prediction paper (Journal of Clinical Medicine, 2026).

A steady clinical counterpart throughout this line of work.

Clinical Assistant Professor in the Division of Critical Care Medicine, Department of Surgery, at Ewha Womans University Mokdong Hospital.

Introduced through the AITRICS deterioration-prediction work and now an independent collaborator with Kyung Hyun — co-investigators on a submitted grant proposal for a multimodal ICU early-warning AI, bringing the surgical-ICU perspective to the work.

Co-author with Kyung Hyun on the surgical- and critical-care-focused manuscripts currently under peer review — covering transfusion volume and outcomes in the critically ill, ICU delirium determinants, prolonged mechanical ventilation, trauma mortality prediction, and the metabolic effects of cholelithiasis and cholecystectomy on incident type 2 diabetes; also collaborating on the multicenter external validation of the Transformer-based cardiac arrest prediction system.

A valued partner in extending this line of work into surgical-ICU questions.

Co-founder and Quality Management Officer at BreathYou, leading quality management for medical device development, and a steady partner at Kyung Hyun’s side since the company’s earliest days.

Nurse by training, with a degree in Nursing from Catholic University of Busan, followed by three years as a research nurse at Severance Hospital (Sinchon) before co-founding BreathYou.

Preparing to enter the Department of Medical Device Industry at SAIHST, Sungkyunkwan University, under Prof. Jin-Young Lee’s sponsorship — working alongside Kyung Hyun day to day to learn how digital-health research takes shape, from study design through clinical data work.

AI Researcher at AITRICS, based in Seoul, South Korea.

Kyung Hyun’s fellow SAIHST alumnus, joining the same Department of Digital Health as a PhD student from the fall 2026 semester.

A close AITRICS colleague of Kyung Hyun’s across the deterioration-prediction work. Co-first author with Kyung Hyun on the Transformer-based cardiac arrest prediction model for general-ward patients (medRxiv, 2026), and a steady collaborator on the broader early-warning system line — including the time-varying threshold analysis (Applied Medical Informatics, 2024) and the community-onset sepsis triage study (Applied Medical Informatics, 2024).

AI Researcher at AITRICS, based in Seoul, South Korea.

A close AITRICS colleague on the AKI prediction line of work — co-first authors with Kyung Hyun on the multi-center external validation of AKI deep-learning models under simulated continuous monitoring (npj Digital Medicine, 2026), building on the earlier AKI labeling-algorithm study.

GitHub: DonghweeYoon · Google Scholar: profile

Deep Learning Researcher at IBricks, based in Seongnam, South Korea.

Shares his undergraduate and graduate alma mater with Kyung Hyun, and was a fellow member of Prof. Mira Kang’s M Lab at SAIHST, where they worked closely together on his research and papers throughout graduate school.

Long-time collaborator on multimodal deep learning — first-author with Kyung Hyun corresponding on the audio+text emotion recognition work (Korea Computer Congress, 2022), then co-first with Kyung Hyun on the self-supervised contrastive multimodal emotion recognition paper (Korea Computer Congress, 2023).

GitHub: yw0nam

Currently at TRIZN, based in Suwon, South Korea, and contributing as a backend engineer (side) at BreathYou.

Shares his undergraduate alma mater with Kyung Hyun — long-time friend and fellow engineer.

GitHub: kimjinho1

Student at Seoul Robotics High School, and a side contributor at BreathYou working on mobile app development.

Long-time mentee of Kyung Hyun — exploring mathematics, programming, statistics, and life along the way.