Currently a Ph.D. candidate in Applied Nuclear Physics at State University of Londrina, my research focuses on the integration of multimodal spectral data, exploratory data analysis, and modern modeling techniques for soil health and fertility assessment. In parallel, I am also interested in Explainable Artificial Intelligence (XAI), particularly in the development of interpretation frameworks for spectral-based models aimed at improving the transparency, reliability, and reproducibility of machine learning applications in spectroscopy.
My broader interests include Machine Learning, Deep Learning, Chemometrics, Spectroscopy, and interdisciplinary research that combines physically grounded modeling with advanced computational intelligence approaches.
Education
- Teaching Degree in Physics — State University of Londrina (Brazil), 2022
- Master of Science in Applied Nuclear Physics — State University of Londrina (Brazil), 2024
- Doctoral Candidate in Applied Nuclear Physics — State University of Londrina (Brazil) — ongoing
- Visiting Researcher — University of Trieste (Italy) — ongoing
Languages & Tools
Domain
- Spectroscopy
- XRF
- vis-NIR
- Gamma Spectrometry
- Colorimetry
- Soil Science
- Machine Learning
- Deep Learning
- Explainable Artificial Intelligence
- Chemometrics
- Exploratory Analysis
- Multivariate Calibration
Links