Jeon Lee, Ph.D.

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).

Undergraduate

Yonsei University (1997), Biomedical Engineering

Graduate School

Yonsei University (1999), Biomedical Engineering

Graduate School

Yonsei University (2006), Biomedical Engineering

• 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

High-throughput functional annotation of natural products by integrated activity profiling.

Hight SK, Clark TN, Kurita KL, McMillan EA, Bray W, Shaikh AF, Khadilkar A, Haeckl FPJ, Carnevale-Neto F, La S, Lohith A, Vaden RM, Lee J, Wei S, Lokey RS, White MA, Linington RG, MacMillan JB, Proc Natl Acad Sci U S A 2022 Dec 119 49 e2208458119

ADAP1 promotes latent HIV-1 reactivation by selectively tuning KRAS-ERK-AP-1 T cell signaling-transcriptional axis.

Ramirez NP, Lee J, Zheng Y, Li L, Dennis B, Chen D, Challa A, Planelles V, Westover KD, Alto NM, D'Orso I, Nat Commun 2022 Mar 13 1 1109

Decoding Human Genome Regulatory Features That Influence HIV-1 Proviral Expression and Fate Through an Integrated Genomics Approach.

Ruess H, Lee J, Guzman C, Malladi VS, D'Orso I, Bioinform Biol Insights 2022 16 11779322211072333

Blood biomarker discovery for autism spectrum disorder: A proteomic analysis.

Hewitson L, Mathews JA, Devlin M, Schutte C, Lee J, German DC, PLoS One 2021 16 2 e0246581

Neural Networks to Predict Radiographic Brain Injury in Pediatric Patients Treated with Extracorporeal Membrane Oxygenation.

Shah N, Farhat A, Tweed J, Wang Z, Lee J, McBeth R, Skinner M, Tian F, Thiagarajan R, Raman L, J Clin Med 2020 Aug 9 9

Identifying Ear Abnormality from 2D Photographs Using Convolutional Neural Networks.

Hallac RR, Lee J, Pressler M, Seaward JR, Kane AA, Sci Rep 2019 Dec 9 1 18198

A Cellular Anatomy of the Normal Adult Human Prostate and Prostatic Urethra.

Henry GH, Malewska A, Joseph DB, Malladi VS, Lee J, Torrealba J, Mauck RJ, Gahan JC, Raj GV, Roehrborn CG, Hon GC, MacConmara MP, Reese JC, Hutchinson RC, Vezina CM, Strand DW Cell Rep 2018 Dec 25 12 3530-3542.e5

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

Tonometric Vascular Function Assessment. In Biomedical Engineering

Jeon Lee and Ki Chang Nam (2009). InTech

• 1st team Prize, NEUROHACK 2022 (https://demondementia.com/neurohack-2022/)
  (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)

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