Elham Azizi is an Assistant Professor of Biomedical Engineering and Herbert and Florence Irving Assistant Professor of Cancer Data Research (in the Herbert and Florence Irving Institute for Cancer Dynamics and in the Herbert Irving Comprehensive Cancer Center). Her work aims to characterize the complex populations of interacting cell types in the tumor microenvironment and their underlying circuitry by leveraging cutting-edge single-cell genomic technologies. Her approach involves developing novel machine learning methods to address the statistical and computational challenges inherent to analyzing data from single-cell technologies. By integrating single-cell and multi-omics data using probabilistic modeling approaches, she aims to infer dysregulated programs driving cancer stem cells as well as the reprogramming of immune cells leading to immune dysfunction. These interpretable models can ultimately help guide improved and personalized cancer therapies.
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