Yael S.
Computational Biology Scientist (Postdoctoral Fellow) @National Cancer Institute (NCI)
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WORK HISTORY
Computational Biology Scientist (Postdoctoral Fellow) @National Cancer Institute (NCI)
Bethesda, MD, US
Processed and analyzed large-scale single-cell and bulk transcriptomics data using tools such as R, Python, Seurat, and Scanpy, integrating results to investigate immune aging and its effects on cancer treatment outcomes.• Led the development of the IMMClock tool, providing novel insights into immune cell-specific aging and its implications for cancer biology.• Applied machine learning to analyze omics and clinical data, with a focus on immune system dynamics in cancer and aging.• Effectively communicated complex findings through clear data visualizations, delivering insights to diverse audiences and bridging technical research with translational applications.• Investigated tumor microenvironment features using spatial data, contributing to a deeper understanding of cancer progression and immune interactions.• Contributed to the mission of CDSL, a translationally focused computational lab that develops and applies cutting-edge methods to analyze cancer omics data, collaborating closely with experimental labs to generate insights that advance cancer research and treatment.• Collaborated with wet-lab biologists, facilitating hypothesis generation and leveraging computational approaches to complement biological insights.
EDUCATION
Tel Aviv University
Master of Science (MSc)
Tel Aviv University
Doctor of Philosophy - PhD
The Hebrew University
Bachelor of Science (BSc)
ABOUT YAEL S.
I\'m a computational biology scientist at the Cancer Data Science Lab at the National Cancer Institute, where I integrate AI/ML with biological insights to drive translational research. My work supports precision oncology and targeted therapies that aim to improve patient outcomes. Throughout my career, I\'ve navigated roles ranging from hands-on research to those requiring broader strategic thinking and collaboration. I have led projects in dynamic, multidisciplinary environments. This experience has honed my ability to transform scientific innovation into practical, impactful solutions.
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