Jeon Lee, Ph.D.
Assistant Professor

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

• 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

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

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen.

Menden MP, Wang D, Mason MJ, Szalai B, Bulusu KC, Guan Y, Yu T, Kang J, Jeon M, Wolfinger R, Nguyen T, Zaslavskiy M, Jang IS, Ghazoui Z, Ahsen ME, Vogel R, Neto EC, Norman T, Tang EKY, Garnett MJ, Veroli GYD, Fawell S, Stolovitzky G, Guinney J, Dry JR, Saez-Rodriguez J, Nat Commun 2019 06 10 1 2674

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

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

The Drosophila ribosome protein S5 paralog RpS5b promotes germ cell and follicle cell differentiation during oogenesis.

Jang S, Lee J, Mathews J, Ruess H, Williford AO, Rangan P, Betrán E, Buszczak M, Development 2021 Sep

Exocyst protein subnetworks integrate Hippo and mTOR signaling to promote virus detection and cancer.

Zaman A, Wu X, Lemoff A, Yadavalli S, Lee J, Wang C, Cooper J, McMillan EA, Yeaman C, Mirzaei H, White MA, Bivona TG, Cell Rep 2021 Aug 36 5 109491

Functional characterization of 67 endocytic accessory proteins using multiparametric quantitative analysis of CCP dynamics.

Bhave M, Mino RE, Wang X, Lee J, Grossman HM, Lakoduk AM, Danuser G, Schmid SL, Mettlen M, Proc Natl Acad Sci U S A 2020 Nov

 Featured Books

Tonometric Vascular Function Assessment. In Biomedical Engineering

Jeon Lee and Ki Chang Nam (2009). InTech

• 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)

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