I'm a PhD student in Biosystems Engineering at Mississippi State University, a NASA Early Career Research Fellow supervised by Dr. Vitor Martins, and member of the Geospatial Computing for Environmental Research (GCER) lab. My PhD project develops scalable AI pipelines for large-scale geospatial data on HPC/GPU infrastructure, with a focus on global algal bloom detection in coastal waters. I love to explore Vision Transformers, semantic segmentation, and self-supervised learning for Earth observation, while advancing domain-aware foundational models tailored to aquatic environments. My broader research interests span AI-driven innovation, multimodal learning, and sustainable monitoring solutions that integrate satellite data, computer vision, and high-performance computing for planetary-scale environmental challenges.

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I hold a master’s degree in Remote Sensing from the Brazilian Institute for Space Research (INPE), Brazil, where I focused on calibrating bio-optical models using satellite data. I earned my bachelor’s degree in Geomatics and Surveying Engineering from São Paulo State University (UNESP), with a focus on GNSS, atmospheric modeling, and remote sensing. I have collaborated with research groups at the University of New Brunswick and the National Research Council of Italy (CNR-IREA), where I worked with hyperspectral data and deep learning for inland water applications.