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CIs Seminar: “Modeling cancer progression with neural networks”
December 2, 2021 at 3:30 PM - 4:30 PM
The exponential growth of biological datasets in recent years has increased the dependency of cancer research on AI and computational analysis. Cancer evolves through the accumulation of genetic events over time, which are represented through different types of data. Integration of machine learning methods with temporal modeling and genomic methods has the potential to improve our understanding and treatment of cancer. In this talk, we will discuss emerging data science challenges for cancer research and opportunities to address these challenges using integrated AI frameworks.
Molecular & Cellular Oncogenesis Program Wistar Institute Cancer Center
Noam Auslander is an Assistant professor in the Molecular & Cellular Oncogenesis Program at the Wistar Institute Cancer Center. She focuses on developing machine learning methods to understand evolution and unveil vulnerabilities that can be therapeutically targeted.
Naom earned her B.S. in computer science and biology from Tel Aviv University and continued her studies in Maryland, where she obtained a computer science Ph.D from the University of Maryland with a combined fellowship at the National Cancer Institute. She received postdoctoral training at the National Center of Biotechnology Information (NCBI) and joined The Wistar Institute in 2021 as an assistant professor.