Biography

Dr. Lee is a computational biostatistician with a strong foundation in academic research and extensive hands-on experience in clinical and translational science. She holds a Ph.D. in Medical Science (Biomedical Informatics) from Ajou University Medical Center in South Korea and an M.S. in Biostatistics from the University of North Carolina at Chapel Hill. With over six years of experience working as a biostatistician in academic medical environments, Dr. Lee has been deeply involved in the research design, statistical analysis, and interpretation of data across a broad spectrum of research, including clinical trials, population-based studies, and multicenter collaborations.
Her career bridges rigorous academic training and real-world research practical implementation, enabling her to serve as a key collaborator in interdisciplinary teams aiming to improve health outcomes through data-driven approaches. Dr. Lee also contributes to the scientific community as a statistical reviewer for Neurospine Journal, supporting the rigor and quality of peer-reviewed research.

Education

Doctorate (PhD)
Medical Sciences and Biomedical Informatics - College of Medicine, Ajou University, Suwon, Korea
Master's (MS)
Biostatistics - Gillings School of Public Health, University of North Carolina at Chapel Hill, NC
Bachelor's (BS)
Engineering - Ewha Woman's University, Seoul, Korea

Areas of Interest

Clinical Interests

  • Application of real-world data to support evidence-based clinical decision-making
  • Early detection and risk stratification for neurodegenerative diseases, including vascular cognitive impairment and dementia
  • Development of predictive models for patient outcomes and health system optimization
  • Data-driven approaches to improve behavioral and cognitive interventions in aging populations
  • Integration of clinical informatics and biostatistics to enhance precision medicine in neurological care
  • Use of electronic health records and patient-reported data to inform personalized treatment strategies

Research Interests

Dr. Lee’s research integrates her academic expertise and applied experience to address complex challenges in biomedical data science. Her interests lie at the intersection of biostatistics, informatics, and clinical research, with a particular focus on real-world evidence generation, vascular cognitive impairment, behavioral interventions, and precision risk prediction. She develops and applies advanced statistical and machine learning techniques to analyze diverse data sources—including EHRs, claims, national survey data, registries, and patient-reported data—to identify early disease markers, model complex progression trajectories, and stratify patient risk. By combining deep methodological knowledge with practical experience in academic health systems, Dr. Lee aims to translate data into actionable insights that support early detection, targeted interventions, and personalized care strategies in aging and neurodegenerative conditions.

Publications

Lim YC, Lee E, Song J. Depression or Anxiety According to Management Modalities in Patients With Unruptured Intracranial Aneurysms. Stroke. 2022 Dec;53(12):3662-3670. doi: 10.1161/STROKEAHA.122.040330.

Noh CK*, Lee E*, Park B, Ahn SS. A positive faecal immunochemical test result and its association with the incidence of rheumatoid arthritis, systemic lupus erythematosus, and psoriatic arthritis: an analysis of one-million national colorectal cancer screening programme results. BMC Med. 2022 Jul 4;20(1):226. doi: 10.1186/s12916-022-02416-y.

Noh CK*, Lee E*, Lee GH, Kang JK, Lim SG, Park B, Park JB, Shin SJ, Cheong JY, Kim JH, Lee KM. Association of Intensive Endoscopic Screening Burden With Gastric Cancer Detection. JAMA Netw Open. 2021 Jan 4;4(1):e2032542. doi: 10.1001/jamanetworkopen.2020.32542.

Lee E*, Karim H, Andreescu C, Mizuno A, Aizenstein H, Lee H, Lee D, Lee K, Cho SM, Kim D, Park RW, Son SJ, Park B. Network modeling of anxiety and psychological characteristics on suicidal behavior: Cross-sectional study. J Affect Disord. 2022 Feb 15;299:545-552. doi: 10.1016/j.jad.2021.12.050.