Seung Wook Lee

Internist · Clinical Informatics Fellow

I started my Clinical Informatics fellowship at Mount Sinai in New York in July 2026. This blog covers my studies, research, hobbies, and everyday life.

LinkedIn ↗ ORCID ↗

Areas of Focus

Clinical practice

Internal medicine, acute and chronic disease management, preventive care

Development

Web and mobile platforms that improve clinical settings

Data science

Predictive modeling and clinical decision support using EMR and wearable data

Writing

Clinical experiences, technology trends, and data science

Education

• February 2022

  Doctor of Medicine (MD)

  Kyungpook National University School of Medicine

• May 2016

  B.S. in Biomedical Engineering

  Johns Hopkins University

Experience

Clinical

• July 2026 – Present

  Clinical Informatics Fellow

  Mount Sinai · New York

  Clinical Informatics fellow at Mount Sinai following completion of internal medicine residency.

• July 2023 – 2026

  Internal Medicine Resident

  MetroWest Medical Center

  Completed internal medicine training in inpatient, ICU, and outpatient settings.

• July 2022 – May 2023

  Clinical Research Associate

  University of Virginia Hospital

  Patient outcome prediction projects using ICU data; clinical data analysis.

Technology

• June 2016 – May 2017

  Project EpiWatch

  Johns Hopkins Hospital

  Developed an Apple Watch-based epilepsy management app and a seizure detection machine learning algorithm.

• April 2014 – May 2017

  Speech Banana

  JHU Center for Imaging Science

  Developed a rehabilitation app for cochlear implant patients and a web version of the iOS app.

Data science research

• January 2014 – May 2016

  7T MRI Neurovascular Research

  Kennedy Krieger Institute

  Analyzed arterial cerebral blood volume changes for diagnosing neurological disorders (e.g., Huntington's, Parkinson's).

• March 2020 – February 2021

  Vascular Surgery Outcome Analysis

  KNU Department of Vascular Surgery

  Compared outcomes and risk factors in above-knee femoropopliteal artery bypass using autologous vein vs. artificial graft.

Publications & Presentations

Key publications (first author / co-first author)

• Lee, S. et al. "Multi-center validation of machine learning model for preoperative prediction of postoperative mortality." npj Digital Medicine, 2022.First author
• Yoo, TK, Lee, S. et al. "Influence of MAFLD and NAFLD on Arterial Stiffness." Nutrition, Metabolism and Cardiovascular Diseases, 2024.Co-first author

Awards

• 1st Place, Clinical Research — 2024 Massachusetts Chapter Annual Scientific Meeting, American College of Physicians (research on ARB/ACEi and dementia risk).

More publications and presentations

Co-authored publications

• Hua, J. et al. "Abnormal Grey Matter Arteriolar Cerebral Blood Volume in Schizophrenia…" Schizophrenia Bulletin, 2016.
• Hua, J. et al. "Increased Cerebral Blood Volume in Small Arterial Vessels is a Correlate of Amyloid-β–Related Cognitive Decline." Neurobiology of Aging, 2019.
• Ratnanather, JT. et al. "An MHealth App (Speech Banana) for Auditory Training…" JMIR MHealth and UHealth, 2021.
• Ge, A. et al. "Seizure triggers identified postictally using a smart watch reporting system." Epilepsy & Behavior, 2022.
• Park, T. et al. "Artificial Intelligence in Pediatric Healthcare: current applications, potentials and implementation considerations." Clinical and Experimental Pediatrics, recent.

Poster presentations (first author)

• Lee, S. "Effects of Angiotensin-II Receptor Blockers and ACE Inhibitors on Dementia Risk…" 2024 MA ACP Annual Scientific Meeting, 2025 National ACP Annual Scientific Meeting (1st Place, Clinical Research).
• Lee, S. "Electrocardiogram-Based Identification of Acute Heart Failure in Chronic Heart Failure…" 2024 OHDSI Global Collaborator Showcase.

Contact

The best way to reach me is LinkedIn.

LinkedIn ORCID