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, or sustainable agriculture. Experience working in interdisciplinary settings that combine multiple perspectives and disciplines, ideally across topics including nutrition, sustainable food choices, food systems
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. Developing quantitative proteomics approaches to capture the spatiotemporal organization of signaling networks and combining these with functional genomics and molecular biology techniques to study their
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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, with a focus on combination therapies that account for cell-cell interactions. Experimental model systems will include cancer cell lines, organoid/assembloid models, and clinical tumor samples. Projects