I am an assistant professor in the Department of Transdisciplinary Medicine and the Healthcare AI Research Institute at Seoul National University Hospital and Seoul National University College of Medicine. Also, I am the professor in charge of the Center for Data Innovation at the National Strategic Technology Research Institute, where I work to build the Korea Health Data Platform for global collaboration, and a member of VitalLab, where I contribute to a range of government-funded research projects such as the Korea-US Innovative R&D Initiative, NSTRI, K-MIMIC, Korean ARPA-H, Multimodal Medical AI, and the Sejong Science Fellowship.

My work has been recognized with several prestigious honors, including the Top 30 Healthcare R&D Excellence Achievements (2024) and the Early Career Investigator Award (2024) by the Ministry of Health and Welfare of the Republic of Korea. In 2025, I joined the editorial team of npj Digital Medicine, the leading medical AI journal, as an associate editor.

My research focuses on biosignal processing, clinical natural language processing (large language models), reinforcement learning, and multi-agent systems. Leveraging these methods on multimodal clinical data such as biosignals, clinical texts, medical imaging, and electronic health records, my work aims to develop AI models for real-time patient monitoring, prognosis prediction, and personalized treatment planning. I’ve published more than 40 peer-reviewed articles in leading medical AI journals (npj Digital Medicine, JMIR) and international AI conferences (NeurIPS, EMNLP).

🚀 I am seeking highly motivated MS/PhD students and Post-docs! Feel free to email me your CV if you’d like to join our mission of advancing clinical AI✨.

🔥 News

• 2025.12:  🎉🎉 We are thrilled to release a new medical reasoning LLM hari-q2.5-thinking(72B), which achieved 89.2% accuracy on the Korean Medical Licensing Exam (KMLE) and 88.36% on the USMLE QA benchmark.
• 2025.06:  🎉🎉 We are thrilled to release our medical reasoning LLM hari-q3-14b, which achieved 84.1% accuracy on the Korean Medical Licensing Exam (KMLE)!
• 2025.05:  🎉🎉 Our multi-lingual medical LLM hari-q2.5(72B) has just been released, achieving 84.6% accuracy on the Korean Medical Licensing Exam (KMLE)!
• 2025.03:  🎉🎉 We released the ClinicalQA dataset of over 1,000 high-quality question-answer pairs covering diverse clinical scenarios to enhance medical AI development and benchmarking.

📝 Selected Publications

[2025]

• Development of a deep learning-based prediction model for postoperative delirium using intraoperative electroencephalogram in adults, npj Digit Med (IF 15.1, JCR top 1%) [Paper]
• Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomes, npj Digit Med (IF 15.1, JCR top 1%) [Paper] [Media]
• Efficacy of large language models in detecting postoperative delirium from unstructured clinical notes: A retrospective cohort study, npj Digit Med (IF 15.1, JCR top 1%) [Paper]
• Multimodal deep learning to predict postoperative major adverse cardiac and cerebrovascular events after non-cardiac surgery, Int J Surg (IF 10.3) [Paper]
• BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum, EMNLP (Findings) [Paper]

[2024]

• Comparison of NLP machine learning models with human physicians for ASA Physical Status classification, npj Digit Med (IF 12.4, JCR top 1%) [Paper] [Media]
• Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients, npj Digit Med (IF 12.4, JCR top 1%) [Paper] [Media]
• MDAgents: An adaptive collaboration of LLMs for medical decision-making, NeurIPS (oral) [Paper]

[2024]

• Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU, npj Digit Med (IF 15.2, JCR top 1%) [Paper] [Media]
• Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia, npj Digit Med (IF 15.2, JCR top 1%) [Paper]

🎖 Honors and Awards

• 2025.11, Finalist on i-to-i Innovation Hub in World Hospital Congress 2025, International Hospital Federation
• 2024.11, Minister’s Commendation, Early Career Investigator Award for Distinguished Contributions in Health Technology Advancement, Ministry of Health and Welfare
• 2024.06, Top 30 Healthcare R&D Excellence Achievements, Ministry of Health and Welfare
• 2024.06, Best Poster Award, Korean Society of Medical Informatics (KOSMI)
• 2023.01, Honorable Mention, Society of Technology in Anesthesia (STA)
• 2021.12, Grand Prize (Future Talent Award), The Association of Korean Medicine
• 2021.12, First Place, Military Medical ICT Convergence Idea Contest, ROK Armed Forces Medical Command
• 2021.11, First Place, Bio-signal/EMR AI Specialist Program, Korea Human Resource Development Institute for Health and Welfare
• 2021.11, Academic Excellence Award, 52nd Military Medicine and 2021 International Military Trauma Conference, ROK Armed Forces Medical Command
• 2021.08, First Place, Asan Medical Device Innovation Studio 2021 Shark Tank Competition, Asan Institute for Convergence Science and Medicine
• 2020.10, First Place (Minister’s Award), Military Personnel Hackathon, Ministry of National Defense [Media]

📖 Educations

• 2018.09 - 2022.02, Ph.D., Kyung Hee University, South Korea
• 2016.03 - 2018.02, M.S., Kyung Hee University, South Korea
• 2015.03 - 2019.02, Intern/Resident Doctor, Kyung Hee Medical Center, South Korea
• 2009.03 - 2015.02, M.D.(Doctor of Korean Medicine), Kyung Hee University, South Korea

💬 Invited Talks

• 2025.11, Recent trends in medical LLM agents, Kangwon National University Hospital
• 2025.11, Toward Medical Superintelligence, Seoul National University Hospital
• 2025.11, Korea Health Data Platform, World Hospital Congress 2025 [Media]
• 2025.11, Healthcare Big Data Platform and AI Research, Korea Health Information Service (K-HIS)
• 2025.11, Optimizing Dexmedetomidine Using Reinforcement Learning Model to Prevent Delirium in Critically Ill Patients, KoreAnesthesia 2025
• 2025.10, The Future of AI-driven Hospital Information Systems, ezCaretech
• 2025.10, Recent Trends in AI Research and Clinical Applications, Dongguk University
• 2025.09, Recent Trends in AI Research Using Healthcare Data, Korea Institute of Science and Technology Information (KISTI)
• 2025.09, Recent Trends in AI Research and Clinical Applications, ROK Armed Forces Medical Command
• 2025.09, Biosignal AI and Clinical LLMs, Kyung Hee Medical Center at Gangdong
• 2025.04, Duke Critical/Acute Care Datathon: Symposium, Duke University
• 2025.03, Healthcare AI Research Human Resource Training Program – Medical LLM, Seoul National University Hospital
• 2024.11, Specialized Research Institute Data Platform: Building and Utilizing an International Collaborative Research Platform for Medical Data, Korea Health and Medical Information Service
• 2024.11, AI-based Biosignal Monitoring Technology, Seoul National University Bundang Hospital
• 2024.09, Introduction to the National Strategic Technology Specialized Research Institute Data Platform, Seoul AI Hub
• 2024.02, Large Language Models in Clinical Medicine, Gachon University
• 2023.12, Introduction to Medical AI for Enhancing Military Medical Research Capabilities, ROK Armed Forces Medical Command
• 2023.12, Transforming the Patient Journey with AI, Asan Medical Center
• 2023.11, Introducing Medical AI into Korean Medicine Practice, Dong-Eui University
• 2023.11, Improving the Patient Care Pathway with AI, Chung-Ang University
• 2023.11, Large Language Models in Medicine, The Society of Korean Medicine for Acupuncture & Moxibustion
• 2023.10, Case Studies of AI Research Using High-Performance Infrastructure-based VitalDB, Seoul National University Hospital
• 2023.10, Transforming the Patient Journey with AI, Seoul National University Hospital
• 2023.10, Large Language Models in Clinical Medicine, ISAMS
• 2023.09, ChatGPT for Military Medicine, ROK Armed Forces Medical Command
• 2023.08, Large Language Models in Medicine, Seoul National University Hospital
• 2022.12, Development of an AI Chatbot Model to Improve Medical Services for Primary Care Users in Korea, Chung-Ang University
• 2022.10, Introduction to AI Research Experience, Kyung Hee University
• 2022.09, Development of a Medical AI Model for Predicting Drug Concentration, Korea Human Resource Development Institute for Health and Welfare
• 2022.08, Development and validation of reinforcement learning model for smooth extubation in the operating room for surgical patients, Korean Society of Artificial Intelligence in Medicine (KoSAIM)
• 2022.07, Case Studies of Biosignal Data Analysis Using AI, Korea Human Resource Development Institute for Health and Welfare
• 2022.05, How to Utilize Medical AI in Education, Korea Human Resource Development Institute for Health and Welfare
• 2021.11, Military Medicine and Medical AI, Korea Institute of Oriental Medicine

📚 Lectures

• 2025 Fall, Medical Research 2
• 2025 Fall, Medicine and Data Science (Natural language processing, LLM) [Material]
• 2023 Fall, Medicine and Data Science (Biosignal processing, LLM) [Material]