Byung-Hoon Kim, M.D., Ph.D.

1. Graph representation learning and graph-theoretical analysis of functional neuroimage data
2. Multi-modal foundation models for language-neuroimage-omics-based precision psychiatry
3. Development and application of digital healthcare products for supporting clinical practice

Korea Advanced Institute of Science and Technology (KAIST)

February 2021
Daejeon, Korea

• Ph.D. in Engineering
• Major: Bio and Brain Engineering
• Advisor: Dr. Jong Chul Ye
• Cognate Area: Machine learning, Signal Processing, Functional Neuroimaging
• Dissertation: “Application of graph neural network for the analysis of resting-state functional magnetic resonance image”

Yonsei University

August 2016
Seoul, Korea

• Master of Science
• Major: Medicine (Psychiatry)
• Advisor: Dr. Jae-Jin Kim
• Cognate Area: Schizophrenia, Functional Neuroimaging
• Dissertation: “Intrinsic and extrinsic motivation for involvement in social and recreational activities in schizophrenia: An fMRI study”

Yonsei University

February 2012
Seoul, Korea

• Doctor of Medicine
• Major: Medicine

Department of Biomedicine Systems Informatics, College of Medicine, Yonsei University

Research Assistant Professor, March 2024 - Current

• Conducted own research and published original articles at peer-reviewed conferences and journals.
• Managed ongoing research projects of the department as a principal investigator or a co-investigator.
• Interacted with graduate/undergraduate students to give academic advices and supervise their research.

Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine

Adjunct Professor, March 2024 - Current
Clinical Research Assistant Professor, March 2022 - February 2024
Clinical Fellow, March 2021 - February 2022

• Conducted own research and published original articles at peer-reviewed conferences and journals.
• Managed ongoing research projects of the department as a principal investigator or a co-investigator.
• Interacted with graduate/undergraduate students to give academic advices and supervise their research.

Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School

Visiting Scholar, July 2023 - December 2023. $60,000/Year funded from Severance Research Initiative

• Conducted collaborative research and published original articles at peer-reviewed conferences and workshops.
• Participated in lab meetings and shared insights on research trends.

Department of Bio and Brain Engineering, KAIST

Head Graduate Teaching Associate, Biomedical Imaging, August 2018 - December 2018 Awarded with Best Teaching Associate Award
Graduate Teaching Associate, Biomedical Signal Processing, March 2017 – June 2017

• Participated in classes in designing course curriculums, setting evaluation standards, and updating lecture materials.
• Interacted successfully with students regarding lecture contents, quiz/exam scorings, and their academic challenges.
• Supervised and taught students during discussion and practice sessions.
• Interacted with and managed the duties of teaching associates as a head teaching associate.

Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine

Adjunct Professor, March 2024 - Current
Clinical Research Assistant Professor, March 2022 - Current
Clinical Fellow, March 2021 - February 2022

• Treated and evaluated psychiatric patients from out-patient clinic and in-patient ward settings in a university hospital.
• Managed psychiatric difficulties in patients from other medical departments through consultation.
• Interacted with resident doctors and supervised their clinical practice.

Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine

Resident Doctor, March 2013 - February 2017 Awarded with Resident of Honor Award 2013, 2014
Chief Resident Doctor, September 2015 - November 2016

• Treated and evaluated psychiatric patients from out-patient clinic and in-patient ward settings in a university hospital.
• Managed psychiatric difficulties in patients from other medical departments through consultation.
• Participated in conferences and gave presentations discussing clinical cases or up-to-date clinical viewpoints offered by the department.
• Interacted with faculty members and people from other service departments as a chief resident doctor.
• Taught and supervised junior resident doctors and organized their duty.
• Studied state-of-the-art research fields in medicine and conducted my own clinical research as a graduate student in medicine.

Severance Hospital, Yonsei University College of Medicine

Intern Doctor, March 2012 - February 2013

• Gained clinical experience in various departments, including internal medicine, surgery, obstetrics-gynecology, emergency medicine, chest surgery, orthopedic surgery, neurology and radiology, as a medical doctor.
• Conducted medical procedures in in-patient wards and assisted various types of surgeries in operating rooms.

EverEx

Chief Artificial Intelligence Officer, October 2022 - Current

• Led software engineers to implement, train, deploy, and validate computer vision models for product service.
• Participated in decision making of the company's business as a member of board of directors.
• Prepared and presented company business and technology to investors.
• Interacted with employees to manage and supervise their duty.

Refereed Journal Publications

1. Bang, C. -B., Jung, Y. C., You, S. C., Kim, K., *Kim, B. -H. (2024) Promises and Pitfalls of Large Language Models in Psychiatric Diagnosis and Knowledge Tasks British Journal of Psychiatry, Accepted
2. So, J. -H., Chang, J., Kim, E., Na, J., Choi, J., *Sohn, J., *Kim, B. -H., *Chu, S. H. (2024) Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization: Pilot Study JMIR Formative Research, 8:e58418
3. Heo, J., Lee, H., Yoon, S., Kim, M. J., Park, E., Kim, B. M., Kim, D. J., Kim, Y. D., *Kim, B. -H., *Nam, H. S. (2024) On-Device Deep Learning to Detect Carotid Stenosis With Smartphones: Development and Validation. Stroke, 55:00–000
4. Kim, B. -H., Baek, J., Kim, O., Kim, H., Ko, M., *Chu, S. H., *Jung, Y. -C. (2024) North Korean Defectors with PTSD and Complex PTSD show Alteration of Default Mode Network Resting-state Functional Connectivity. BJPsych Open, 10 (1), e25
5. Kim, B. -H., Kim, S. -H., Han, C., Jeong, H. -G., Lee, M. -S., *Kim, J. (2023) Antidepressant-induced mania in panic disorder: a single-case study of clinical and functional connectivity characteristics. Frontiers in Psychiatry, 14
6. Kim, B. -H., Kim, J. J., Oh, J., Kim, S. -H., Han, C., Jeong, H. -G., Lee, M. -S., *Kim, J. (2023) Feasibility of the virtual reality-based assessments in patients with panic disorder. Frontiers in Psychiatry, 14, 40
7. Kim, B. -H.^†, Lee, H.^†, *Choi, K. S., Nam, J. G., Park, C. -K., Park, S. -H., Chung, J. W., Choi, S. H. (2022) Validation of MRI-Based Models to Predict MGMT Promoter Methylation in Gliomas: BraTS 2021 Radiogenomics Challenge. Cancers, 14(19), 4827
8. Kim, H., *Kim, B. -H., Kim, M. -K., Eom, H., Kim, J. J. (2022) Alteration of resting-state functional connectivity network properties in patients with social anxiety disorder after virtual reality-based self-training. Frontiers in Psychiatry, 13, 2150
9. Kim, B. -H., Kim, M. -K., Jo, H. -J., *Kim, J. J. (2022) Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features. Scientific Reports, 12(1), 1-10
10. Shin, B., *Oh, J., Kim, B. -H., Kim, H. E., Kim, H., Kim, S. -J. Kim, J. J. (2021) Effectiveness of Self-Guided Virtual Reality-based Cognitive Behavioral Therapy for Panic Disorder. JMIR Mental Health, 8(11), e30590
11. Choi, K. S., Kim, S., Kim, B. -H., Jeon, H. J., Kim, J. -H., Jang, J. H., *Jeong, B. S. (2021) Deep graph neural network-based prediction of acute suicidal ideation in young adults. Scientific Reports, 11(1), 1-11
12. Kim, B. -H., Kim, H. E., Lee, J. S., *Kim, J. J. (2021) Anhedonia Relates to the Altered Global and Local Grey Matter Network Properties in Schizophrenia. Journal of Clinical Medicine, 10(7), 1395
13. Lee, S. -K., Lee, J. S., Shin Y. -B., Kim, H. E., Kim, B. -H., *Kim, J. J. (2021) The relationship between ambivalence, alexithymia, and salience network dysfunction in schizophrenia. Psychiatry Research: Neuroimaging, 310(30), 111271
14. Kim, S. -J., Son, S. J., Jang M., Kim, B. -H., Hong, S. J., Seo, L., Choi, S. -W., *Seok, J. -H., *Noh, J. S. (2021) Rapid symptom improvement in major depressive disorder using accelerated repetitive transcranial magnetic stimulation. Clinical Psychopharmacology and Neuroscience, 19(1), 73-83
15. Kim, B. -H., *Ye, J. C. (2020) Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis. Frontiers in Neuroscience, 630
16. Kim, B. -H., Shin, Y. –B., Kyeong, S., Lee, S. –K., *Kim, J. J. (2020) Neural basis of ambivalence towards ideal self-image in schizophrenia. Psychiatry Investigation, 17 (5), 452
17. Kim, B. -H., Shin, Y. –B., Kyeong, S., Lee, S. –K., *Kim, J. J. (2018) Disrupted salience processing involved in motivational deficits for real-life activities in patients with schizophrenia. Schizophrenia Research, 197, 407-413.
18. Kim, M. -K., Jung, Y. H., Shin, Y. -B., Kim, B. -H., Kim, E. J., *Kim, J. J. (2017) The Relationship between Low Intrinsic Motivation and Basic Psychological Need in Internet Gaming Disorder. Korean Journal of Biological Psychiatry, 24(2), 52-58.
19. Kim, B. -H., Shin, Y. -B., Kyeong, S., Lee, S. -K., *Kim, J. J. (2016) Characteristics of Ambivalence of Self-image in Patients with Schizophrenia. Korean Journal of Schizophrenia Research, 19(1), 5-9.
20. Kim, B. -H., Namkoong, K., Kim, J. J., Lee, S., Yoon, K. J., Choi, M. J. *Jung, Y. C. (2015) Altered resting-state functional connectivity in women with chronic fatigue syndrome. Psychiatry Research: Neuroimaging, 234(3), 292-297. Awarded with Outstanding Resident Research Publication Award.

Refereed Conference and Workshop Publications

1. Lim, S., Kim, Y., Choi, C. -H., *Sohn, J., *Kim, B. -H. (2024) ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024) Clinical NLP Workshop
2. *Kim, B. -H.^†, Choi, J.^†, Yun, E., Kim, K., Li, X., *Lee, J. (2024) Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification. 21st International Symposium on Biomedical Imaging (ISBI 2024) Oral
3. *Kim, B. -H.^†, Choi, J.^†, Yun, E., Kim, K., Li, X., *Lee, J. (2023) Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Temporal Graph Learning (TGL) Workshop
4. Choi, J., Keum, S., Yun, E.*Kim, B. -H., *Lee, J. (2023) A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Temporal Graph Learning (TGL) Workshop
5. Kim, B. -H., Ye, J. C., Kim, J. J. (2021) Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
6. Kim, B. -H., Song, J., *Ye, J. C., Baek, J. (2020) PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing. 16th European Conference on Computer Vision (ECCV) Advances in Image Manipulation (AIM) workshop

Preprints

1. Kim, J. Chung, H., *Kim, B. -H. (2024) CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models arXiv:2411.06869
2. Choi, J. Lee, H., *Kim, B. -H., *Lee, J. (2024) Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain arXiv:2403.06432

Refereed Conference and Workshop Presentations

1. Kim, B. –H., Jo, H-. J., Kim, J. J. (November, 2022) Effect of Mobile-based Meditation on Functional Network Properties of the Resting Brain in Anxious Individuals. Presented at the 2022 annual autumn conference of Korean Society for Human Brain Mapping (KHBM), Seoul, South Korea. Awarded with Best Poster Award
2. Kim, B. –H., Ye, J. C., Kim, J. J. (October, 2021) Learning Dynamic Functional Connectivity with Spatio-Temporal Attention Graph Neural Network. Presented at the 2021 annual autumn conference of Korean Society of Artificial Intelligence in Medicine (KoSAIM), Seoul, South Korea. Awarded with Best Paper Award (1st place)
3. Kim, B. -H., Song, J., Ye, J. C., Baek, J. (August, 2020) PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing. Presented at the 16th European Conference on Computer Vision (ECCV) Advances in Image Manipulation (AIM) workshop, Glasgow, United Kingdom. (Virtual)
4. Kim, B. –H., Ye, J. C. (July, 2020) Graph Neural Network Analysis of Resting-state fMRI. Presented at the 2020 Organization for Human Brain Mapping (OHBM) annual meeting, Montréal, Quebec, Canada. (Virtual)
5. Kim, B. –H., Ye, J. C. (January, 2019) Deep Recurrent Learning of Brain Functional Dynamics for Data-driven Classification of Psychiatric Diagnosis: The Temporal Template Network. Presented at the 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), Nanyang Technological University, Singapore, Singapore. Oral
6. Kim, B. –H., Ye, J. C. (December, 2018) Decorrelating the Brain Dynamics with Recurrent Neural Network for Schizophrenia Classification. Presented at the Thirty-second Annual Conference on Neural Information Processing Systems (NIPS/NeurIPS) workshop on Machine Learning for Health (ML4H), Montréal, Quebec, Canada. Awarded with Workshop travel grant award
7. Kim, B. –H., Ye, J. C. (June, 2018) Deep Recurrent Learning of Brain Functional Dynamics for Data-driven Classification of Psychiatric Diagnosis: The Temporal Template Network. Presented at the 2018 Organization for Human Brain Mapping (OHBM) annual meeting workshop on Nonstandard Brain Image Analysis (NBIA), Singpore, Singapore.
8. Kim, B. –H., Ye, J. C. (March, 2018) Deep Recurrent Learning of Brain Functional Dynamics for Data-driven Classification of Psychiatric Diagnosis: The Temporal Template Network. Presented at the International Society for Magnetic Resonance in Medicine (ISMRM) workshop on Machine Learning, Pacific Grove, CA, USA. Oral
9. Kim, B. -H., Shin, Y. B., Kyeong, S. H., Lee, S. K., Lee, S. K., Kim, J. J. (July, 2016) Dysfunction of Intrinsic and Extrinsic Motivation in Schizophrenia: an fMRI Study. Presented at the 30th World Congress of the International College of Neuropsychopharmacology (CINP), Seoul, South Korea.
10. Kim, B. -H., Shin, Y. B., Kyeong, S. H., Lee, S. K., Lee, S. K., Kim, J. J. (November, 2015) Ambivalence of Ideal Self-image Reflection Correlates with the Anterior Cingulate Cortex Activity in Schizophrenia. Presented at the annual autumn conference of Korean Society for Schizophrenia Research, Seoul, South Korea. Awarded with Best Poster Presentation Award

Invited Presentations

1. Kim, B. -H. (August, 2024) Research and Development of Artificial Intelligence for Musculoskeletal Disorder Software Medical Devices. Invited lecture to the Korean Society of Artificial Intelligence in Medicine (KoSAIM) 2024 Summer School, Seoul, South Korea.
2. Kim, B. -H. (May, 2024) Towards Generalist AI in Neuroimaging and Psychiatry. Invited lecture to the Korean Society of Medical & Biological Engineering, 2024 Annual Spring Conference, Wonju, South Korea.
3. Kim, B. -H. (September, 2023) Cross-disorder comparison of major neuropsychiatric disorders. Invited lecture to the Korean Society of Biological Therapies in Psychiatry, 2023 Annual Autumn Conference, Seoul, South Korea.
4. Kim, B. -H. (August, 2022) Can Artifical Intelligence Make Psychiatric Diagnosis? Invited lecture to the Korean Society of Artificial Intelligence in Medicine (KoSAIM) 2022 Summer School, Seoul, South Korea.
5. Kim, B. -H. (May, 2022) Graph Neural Networks for Understanding Brain Functional Connectivity Network. Invited lecture to the Korean Society of Artificial Intelligence in Medicine (KoSAIM) 2022 Annual Spring Conference, Seoul, South Korea.
6. Kim, B. -H. (May, 2022) Deep Learning on Graphs and Neuroimaging: What, Where, and Why. Invited lecture to the Korean Society for Human Brain Mapping (KHBM) 2022 Annual Spring Conference, Seoul, South Korea.
7. Kim, B. -H. (February, 2022) Neuroimage Data Analysis using Python and Graph Neural Networks. Invited lecture to the Korean Society for Human Brain Mapping (KHBM) 2022 Winter School, Hoengseong, South Korea. [Code]

Research Project

1. PI: Multi-faceted Psychiatric Patient Utterance Simulation for Evaluation of Generative AI-based Psychiatric Assessment Conversational Agents. Total award ₩10M ($7,500) funded by the Institute for Innovation in Digital Healthcare (IIDH) of Yonsei University Health System, 2024-2025.
2. Co-PI: Hyperscale AI Ecosystem Expansion Initiative - Medical Knowledge Data Corpus. Total award ₩30M ($22,500) funded by the National Information Society Agency (NIA) of Korea, 2024.
3. PI: Representation Learning of Brain Connectivity with Graph Neural Networks for Investigation of Biomarkers in Schizophrenia. Total award ₩210M ($165,000) funded by the National Research Foundation (NRF) of Korea, 2022-2025.

Travel

1. Severance Research Initiative. Total award $60,000/Year funded by College of Medicine, Yonsei University for visiting research fellow position at Massachusetts General Hospital, Harvard Medical School, 2023
2. Neural Information Processing Systems (NeurIPS) workshop on Machine Learning for Health (ML4H). Total award $250 funded by the organizing committee, 2018.

Awards

• Best Poster Award.  Korean Society for Human Brain Mapping (KHBM),  November 2022.
• Best Paper Award (1st place).  Korean Society of Artificial Intelligence in Medicine (KoSAIM),  October 2021.
• Best Teaching Associate Award.  Department of Bio and Brain Engineering, KAIST,  March 2019
• Travel grant award.  Neural Information Processing Systems (NeurIPS) workshop on Machine Learning for Health (ML4H),  December 2018.
• Outstanding Resident Research Publication Award.  Severance Hospital,  February 2016.
• Best Poster Presentation Award.  Korean Society for Schizophrenia Research,  November 2015.
• Resident of Honor Award 2014.  Department of Psychiatry, Severance Hospital, Yonsei University, College of Medicine,  April 2015.
• Resident of Honor Award 2013.  Department of Psychiatry, Severance Hospital, Yonsei University, College of Medicine,  April 2014.

Leadership

• President.  Physician-Programmer Research Association,  Korean Society of Artificial Intelligence in Medine (KoSAIM),  March 2023 - Current
• Chief Resident Doctor.  Gangnam Severance Hospital,  September 2015 – November 2016
• Chief Organizer/Director.  11th Yonsei-Keio Medical Student Scientific Flow Conference, Seoul,  February, 2010
• Chief Representative.  International Research and Cooperation (IRC), Student Union, Yonsei University, College of Medicine,  March 2009 – February 2010
• Chief Representative.  Severance Piano Club, Yonsei University,  March 2009 – February 2010
• Curator, Severance Art Club.  Yonsei University,  March 2009 – February 2010
• Vice-Representative.  MIDI Association of Yonsei (MAY), Yonsei Unversity,  March 2007 – August 2007
• Public Relations (PR) Manager.  MIDI Association of Yonsei (MAY), Yonsei Unversity,  September 2007 – February 2008

Consulting

• EverEx.  Key advisory role on research and development of human pose-estimation models,  November 2021 - September 2022
• Center for Mental Health and Welfare, Gangnam, Seoul.  Advisory role on psychiatric management of community mental health intensive cases,  March 2021 - June 2023

• Member.  Institute of Electrical and Electronics Engineers (IEEE),  2017 - present
• Member.  Organization for Human Brain Mapping (OHBM),  2015 - present
• Member.  Korean Society of Artificial Intelligence in Medicine (KoSAIM),  2021 – present
• Member.  Korean Neuropsychiatric Association (KNPA),  2013 – present
• Member.  Korean Medical Association (KMA),  2012 – present

• Certification in Geriatric Psychiatry.  Korean Association for Geriatric Psychiatry,  February 2022
• Board of Psychiatry.  Korean Neuropsychiatric Association,  February 2017
• Completion of Training, Resident Doctor.  Department of Psychiatry, Severance Hospital,  February 2017
• Completion of Training, Intern Doctor.  Severance Hospital,  February 2013
• Medical License.  Korean Ministry of Health and Welfare,  February 2012
• 1st-Dan Certificate.  Korea Muay Thai Association,  March 2011

Department of Music, Seoul National University, Seoul, Korea

Visiting Student, February, 2011

• Studied music perception and cognition using magnetoencephalography (MEG) in laboratory of Prof. Sukwon Yi.

Department of Radiology, School of Medicine, Keio University, Tokyo, Japan

Visiting Student, January, 2011

• Studied radiologic methods and clinical interpretation of radiological images in supervision of Prof. Sugiura Hiroaki.

Department of Physiology, College of Medicine, Yonsei University, Seoul, Korea

Visiting Student, January - February, 2009

• Studied methods of molecular biology and signaling pathway of substance dependence using stereotaxic direct-approach to NAcc in rat model. Prof. Jeong-Hoon Kim.

Yonsei-Keio Medical Student Scientific Flow Conference

Chief Organizer/Director, 11th Conference, February, 2010, Seoul, Korea

Director, 10th Conference, August, 2009, Tokyo, Japan

Participant, 9th Conference, February, 2009, Seoul, Korea

Participant, 8th Conference, August, 2008, Tokyo, Japan

• Oragnized the whole conference as a chief organizer with student members from both Yonsei Unversity, Korea, and Keio University, Japan.
• Directed the student members from Yonsei University as a director of the conference
• Participated in the conference as a student member of the Yonsei University.