I'm a PhD student in Biosystems Engineering at Mississippi State University, a NASA Early Career Research Fellow supervised by Dr. Vitor Martins, and a member of the Geospatial Computing for Environmental Research (GCER) lab. My PhD project develops scalable AI pipelines for large-scale geospatial data, with a focus on global algal bloom detection in coastal waters. My research integrates in situ radiometric and water quality measurements, radiative transfer theory, and bio-optical modeling with scalable AI to enable robust, global monitoring from satellite observations. My broader research interests combine multispectral and hyperspectral satellite data with field-based measurements to calibrate and evaluate empirical, semi-empirical, and semi-analytical bio-optical models, while advancing domain-aware deep learning approaches tailored to aquatic optical complexity.

​I hold a master’s degree in Remote Sensing from INPE, Brazil, where I focused on bio-optical model calibration using satellite and in situ data. I earned my bachelor’s degree in Geomatics and Surveying Engineering and completed an internship at the University of New Brunswick, Canada, working on GNSS, atmospheric modeling, and remote sensing. I have collaborated with the National Research Council of Italy (CNR-IREA) and the Instrumentation Laboratory for Aquatic Systems (LabISA), applying hyperspectral analysis and optical modeling to advance water quality remote sensing.