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PhD Candidate in the Cancer Biology program. Joint member of the Angelo and Curtis labs working to integrate imaging and sequencing data to better understand the tumor microenvironment in breast cancer.
Using deep learning to analyze multiplexed imaging data; profiling the tumor microenvironment to predict response and resistance to checkpoint blockade; integrating genomics, transcriptomics, and imaging to understand how changes in DNA and RNA affect phenotypes at the protein level