Joo Sang Lee
Joo Sang Lee PhD
Professor: Graduate Program, Research Area, Laboratory, E-mail, Tel
Graduate Program Data Science & Precision Medicine
Research Area Artificial Intelligence, Data Science, Cancer Genomics, Cancer Immunotherapy
Laboratory Next-Gen Medicine Lab Laboratory
Tel +82-31-299-6107
Education & Careers
  • 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-present School of Medicine, Sungkyunkwan University (Assistant Professor)
Research Interest
We are witnessing the beginning of a new generation of medicine. The unprecedented amount of large-scale next generation sequencing data from patients with cancer and other diseases makes data science and artificial intelligence (AI) play a pivotal role in biomedical research. The pressing question is how to best translate the accumulated data into a more effective practice of medicine. Next-Gen Medicine Lab aims to analyze the biological big-data with AI and data science approaches to find a better way to treat cancer. Our research covers highly translationally important questions in multiple fields of cancer biology and medicine with primary focus on precision cancer medicine, tailoring the cancer treatments based on the molecular markup of individual patients from the perspective of AI and data science.
Representative Research Achievements
  • 1. 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).

    2. 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).

    3. 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).

    4. 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).

    5. 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).