CV Lattes
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Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
I am an MSc candidate in Statistics at the Interinstitutional Graduate Program in Statistics UFSCar-USP (PIPGEs). I obtained a bachelor's degree in Computational Physics from the São Carlos Insitute of Physics of the University of São Paulo. During my graduate, I had a FAPESP Scientific Initiation Scholarship, approaching the phase problem in protein crystallography using tools from machine learning, and a CNPq Scientific Initiation in Astrophysics, particularly on the phenomenology of dark matter. (Source: Lattes Curriculum)
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Reproducing Kernel Hilbert Spaces (RKHS) methods are a broad family of statistical learning models that builds upon the notion of a kernel, which can be interpreted as a similarity measure between data observations. For instance, ridge regression, support vector machines - including their kernelized versions - and smoothing splines can be cast to a generic function optimization problem …
The phase problem is notorious in X-ray protein crystallography. Fundamentally, technological limitations on the detection systems result in the loss of information on the phases of the waves scattered constructively by the components of the crystal. As a consequence, the direct calculation of the electron density distribution function in the unit cell is impaired. Currently, two experime…
| 2 / 2 | Completed scholarships in Brazil |
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