Since December 2020, Jeon Lee has been appointed as an Assistant Professor in the Lyda Hill Department of Bioinformatics. He received his Ph.D. in Biomedical Engineering from Yonsei University in South Korea (1999–2006), where he was trained as a medical device developer and innovator with biomedical signal processing and machine learning (ML) expertise. He got his post-doc training in Chronic Disease Informatics Program (PI: Joseph Finkelstein, M.D., Ph.D.) at Johns Hopkins School of Medicine (2013-2014). Then, he studied and developed seminal computational algorithms for big data mining while working as a post-doc and an Assistant Research Scientist (parallel to Assistant Professor) for Dept. Computer Science and Electrical Engineering (PI: Seung-Jun Kim, Ph.D.) at University of Maryland, Baltimore County (2014-2015). He joined UT Southwestern Medical Center as a computational biologist in 2016 and led the ML team at Bioinformatics Core Facility (2018-2020).


Yonsei University (1997), Biomedical Engineering
Graduate School
Yonsei University (1999), Biomedical Engineering
Graduate School
Yonsei University (2006), Biomedical Engineering

Research Interest

  • Associations between brain morphometry and neural oscillations in Parkinson's disease patients
  • Computational methods for multi-modal and multi-omics data analysis
  • Deep Learning model for medical image analysis and clinical outcome prediction
  • Machine Learning based biomarker discovery and outcome prediction
  • Single cell RNA-seq analysis and related computational algorithms


Featured Publications LegendFeatured Publications

In vivo screening identifies SPP2, a secreted factor that negatively regulates liver regeneration.
Lin YH, Zeng Q, Jia Y, Wang Z, Li L, Hsieh MH, Cheng Q, Pagani CA, Livingston N, Lee J, Zhang Y, Sharma T, Siegwart DJ, Yimlamai D, Levi B, Zhu H, Hepatology 2023 Apr
Host Cell Redox Alterations Promote Latent HIV-1 Reactivation through Atypical Transcription Factor Cooperativity.
Cruz-Lorenzo E, Ramirez NP, Lee J, Pandhe S, Wang L, Hernandez-Doria J, Spivak AM, Planelles V, Petersen T, Jain MK, Martinez ED, D'Orso I, Viruses 2022 Oct 14 10
Surface ECG-based complexity parameters for predicting outcomes of catheter ablation for nonparoxysmal atrial fibrillation: efficacy of fibrillatory wave amplitude.
Park JI, Park SW, Kwon MJ, Lee J, Kim HJ, Lee CH, Shin DG, Medicine (Baltimore) 2022 Aug 101 31 e29949


Featured Books Legend Featured Books

Tonometric Vascular Function Assessment. In Biomedical Engineering

Jeon Lee and Ki Chang Nam (2009). InTech

Honors & Awards

  • 1st team Prize, NEUROHACK 2022 (
  • Silver medal, RSNA Intracranial Hemorrhage Detection
    Kaggle computational challenge (2019)
  • Silver medal, SIIM-ACR Pneumothorax Segmentation
    Kaggle computational challenge (2019)
  • Lyda Hill Award, U-HACK MED 2018
    UTSW biomedical hackathon competition (2018)
  • Best Paper Presenter
    BME2008 Hong Kong (2008)
  • Young Investigator Award
    International Federation for Medical and Biological Engineering (2005)
  • Biennial Best Paper Award
    Korean Institute of Electrical Engineers (2003)

Professional Associations/Affiliations

  • Member, IEEE Engineering in Medicine and Biology Society (2012)
  • Member, Society for Neuroscience (2023)
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE) (2015)