Graduated in Physics, Bachelor's degree, from the Federal University of Jataí (2021), and completed a Master's in Space Geophysics at the National Institute for Space Research (2024). During undergraduate studies, participated in the Institutional Scientific Initiation Scholarship Program (PIBIC) at INPE, where the focus was on identifying the main ultra-low frequency (ULF) waves in the magnetic sheath of Venus. In the Master's program, worked in the area of studies of the induced magnetosphere of Venus through machine learning applications. Has experience in Python, with a focus on data science and machine learning, as well as developing numerical calculations. (Source: Lattes Curriculum)
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The planet Venus, despite similarities in physical aspects with Earth, has some significant differences, among these differences is the absence of an intrinsic magnetic field on Venus. Even with the absence of the magnetic field, there is a formation of a magnetosphere by the interaction of the solar wind and the Venusian ionosphere, called the induced magnetosphere. Due to the flow of th…
This project aims to automate the identification of the plasma boundaries of the induced magnetosphere of Venus using machine learning methods. The induced magnetosphere is formed through solar wind interaction with the planetary upper atmosphere. The Venus Express (VEX) mission data (2006-2014), including electron density and magnetic field data from the ASPERA-4 and MAG instruments, res…
| 1 / 1 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 2 / 2 | All Scholarships |
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CV Lattes
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