Current Areas of Focus

👨‍⚕️ Clinical Practice

Currently an Internal Medicine resident, focusing on acute/chronic disease management and preventive care.

💻 Technology Development

Developing tech solutions to improve clinical settings, including mobile/web-based platforms.

📊 Data Science

Researching predictive modeling and clinical decision support systems using EMR and wearable device data.

✒️ Writing & Sharing

Documenting and sharing insights on clinical experiences, tech trends, and data science.

Education

Doctor of Medicine (MD)

Kyungpook National University School of Medicine • February 2022

B.S. in Biomedical Engineering

Johns Hopkins University • May 2016

Key Experience

Clinical Experience

Internal Medicine Resident • MetroWest Medical Center

July 2023 - Present

Managing acute and chronic conditions in inpatient, ICU, and outpatient settings; focusing on preventive care.

Clinical Research Associate • University of Virginia Hospital

July 2022 - May 2023

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

Technology Projects

Project EpiWatch • Johns Hopkins Hospital

June 2016 - May 2017

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

Speech Banana • JHU Center for Imaging Science

April 2014 - May 2017

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

Data Science Research

Postoperative Mortality Prediction Model • KHIDI

January 2021 - June 2022

Developed a machine learning model to predict 30-day in-hospital mortality using preoperative data.

7T MRI Neurovascular Research • Kennedy Krieger Institute

January 2014 - May 2016

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

Vascular Surgery Outcome Analysis • KNU Dept. of Vascular Surgery

March 2020 - February 2021

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

Key Achievements

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.
  • Yoo, TK, Lee, S. et al. "Influence of MAFLD and NAFLD on Arterial Stiffness" Nutrition, Metabolism and Cardiovascular Diseases, 2024 (co-first author).

Other 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.

Awards

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

Let's Connect:

LinkedIn ORCID

I'm always open to discussing ideas and collaborating at the intersection of medicine and technology.

Feel free to reach out for collaborations, or even just to share thoughts and ideas.