Scientist Stories: Elham Azizi, Probabilistic modeling of dynamics in the tumor microenvironment @axialxyz
Scientist Stories: Elham Azizi, Probabilistic modeling of dynamics in the tumor microenvironment  @axialxyz
Uploaded July 2024 | Updated September 2026, 3 weeks ago
Elham Azizi’s multidisciplinary research utilizes novel machine learning techniques and cutting-edge genomic technologies to study the composition and circuitry of cells in tumors.

Characterizing various interacting cell types in the tumor microenvironment, and unraveling their underlying mechanisms can guide the development of improved and personalized cancer treatments. Azizi’s approach involves leveraging genomic profiling at single-cell resolution and developing machine learning and statistical method to analyze and integrate high-dimensional genomic data.

Azizi holds a BSc in Electrical Engineering from Sharif University of Technology (2008), and an MSc in Electrical Engineering (2010) and a PhD in Bioinformatics (2014) from Boston University. She was a postdoctoral fellow at Columbia University and Memorial Sloan Kettering Cancer Center (2014-2019). She joined the faculty of Columbia Biomedical Engineering and Irving Institute of Cancer Dynamics in 2020. She is also affiliated with the Department of Computer Science, Data Science Institute, and the Herbert Irving Comprehensive Cancer Center.

scholar.google.com/citations?user=3LD7KeIAAAAJ

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Scientist Stories: Elham Azizi, Probabilistic modeling of dynamics in the tumor microenvironment

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