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Immunotherapy has the potential for long-term response and possible cure of cancer. However, response rate to currently available immunotherapies is for most cancers still modest and difficult to predict. This is due to tumor heterogeneity and complexity of tumor microenvironment, and the numerous different molecular interactions and clinical features that have been shown to influence tumor progression and therapeutic outcome. There is thus a need for comprehensive characterization of tumor microenvironments to predict optimal treatment regimens for individual patients, as well as to identify novel targets. 

My work will aim to identify spatial and multiomic models to stratify tumors based on phenotypic and functional tumor microenvironment profiles, in relation to clinical information. The work will include analysis of solid tumors, including (but not restricted to) ovarian cancer. 

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