SUNGKYUNKWAN UNIVERSITY SCHOOL OF MEDICINE
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Joo Sang Lee
Joo Sang Lee PhD
| Graduate Program | Data Science and Personal Medicine/ Cancer Biology |
| Research Area | Precision Medicine, Medical AI |
| Laboratory | Next-Gen Medicine Lab Laboratory |
| joosang.lee@skku.edu | |
| Tel | +82-31-299-6107 |
Education & Careers
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1997 - 2005 KAIST BS in Physics
2006 - 2012 Northwestern University PhD in Physics
2012 - 2014 Northwestern Physical Sciences-Oncology Center (Postdoc Fellow)
2014 - 2018 University of Maryland (Research Associate)
2018 - 2019 Cancer Data Science Lab, NCI/NIH (Staff Scientist)
2019 - 2023 School of Medicine, Sungkyunkwan University (Assistant Professor)
2023 - present School of Medicine, Sungkyunkwan University (Associate Professor)
Research Interest
1. Next-Gen Medicine Lab aims to identify a better way to treat cancer patients using large-scale cancer-related sequencing/imaging data and machine/deep learning.
2. We aim to advance precision cancer medicine by analyzing multiple layers of molecular and functional profiles from the perspective of genetic interactions.
3. We have particular interest in making progress in cancer immunotherapy by selecting the right patients for a given therapy and identifying the resistance mechanism for the treatment.
2. We aim to advance precision cancer medicine by analyzing multiple layers of molecular and functional profiles from the perspective of genetic interactions.
3. We have particular interest in making progress in cancer immunotherapy by selecting the right patients for a given therapy and identifying the resistance mechanism for the treatment.
Representative Research Achievements
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1. Chung Y, Ha JH, Im KC, Lee JS* Accurate Spatial Gene Expression Prediction by integrating Multi-resolution features. CVPR (2024) - No. 1 computer vision conference.
2. Schaffer AA, ..., Lee JS*. A systematic analysis of the landscape of synthetic lethality-driven precision oncology. Med 5, 1 (2024). - Medicine journal of CellPress (IF 17.0)
3. Lee JS*, …, Ruppin E*. Synthetic lethality-mediated precision oncology via the tumor transcriptome. Cell 184, 9 (2021). (IF 66.85)
4. R Keshet*, JS Lee*, et al. Targeting purine synthesis in ASS1-expressing tumors enhances the response to immune checkpoint inhibitors. Nature Cancer 1, 894-908 (2020). (IF=23.5)
5. Lee JS, Ruppin E. Multiomics prediction of response rates to therapies to inhibit programmed cell death 1 and programmed cell death 1 ligand 1. JAMA Oncology 5, 1-5 (2019). (IF=33.006)
6. Feng X, Arang N, Rigiracciolo DC, Lee JS, et al. A Platform of Synthetic Lethal Gene Interaction Networks Reveals that the GNAQ Uveal Melanoma Oncogene Controls the Hippo Pathway through FAK. Cancer Cell 35, 457-472 (2019). (IF=50.3)
7. Lee JS*, Adler L*, Karathia H, Carmel N, Rabinovich S, et al. Urea Cycle Dysregulation Generates Clinically Relevant Genomic and Biochemical Signatures. Cell 174, 1559-1570 (2018). (IF=66.85)
8. Lee JS*, Das A*, Jerby-Arnon, L, Davidson M, Atias D, et al. Harnessing synthetic lethality to predict clinical outcomes of cancer patients Nature Communications 9, 2546 (2018).