Camila Paiva Novaes
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I am a cosmologist, working primarily on data analysis and simulations. My research focuses on statistical analyses of cosmological observations, including studies of the cosmic microwave background (CMB), large-scale structure tracers, and 21 cm cosmology. I have worked on tests of isotropy and Gaussianity, as well as on the application of non-Gaussian statistics and machine learning techniques to extract cosmological information from diverse datasets.
My current interests center on applying modern statistical tools to next-generation surveys, particularly to the study of polarized CMB data and large-scale structure tracers, in order to address fundamental questions in cosmology.
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