Physics graduate (UFMT, 2025) and Master's student in Environmental Physics (CAPES scholarship), specializing in the intersection of computational physics, machine learning, and atmospheric sciences.
- Research Experience: CNPq and UFMT scholarship holder during undergraduate research in microfluidic computational modeling and machine learning
- Interdisciplinary Skills: Expertise spanning fluid dynamics, atmospheric discharges, remote sensing, and machine learning applications
- Academic Leadership: Served 2 years as Student Representative in UFMT's Physics Institute Congregation
- Scientific Communication: Presented research at major scientific events (33rd LNLS Annual Users Meeting, UFMT Graduate Exhibition)
- Master's Research: "Machine Learning Applied to Lightning Fatalities Studies in Brazil" - combining atmospheric data with ML to predict and understand lightning-related deaths
- Active Areas: Atmospheric discharges, seasonality patterns, remote sensing, and predictive modeling
- Collaboration: Working with advisors Dr. Daniela Maionchi and Dr. Kleber Naccarato on cutting-edge environmental physics research
- Expanding machine learning applications to broader environmental challenges
- Strengthening international research collaborations
- Publishing research findings in high-impact journals
- Undergraduate Thesis: Computational Modeling of Microfluidic Flows Controlled by Tesla Microvalves
- Extension Projects: "O Céu de Mato Grosso" (FAPEMAT scholarship, 192h) - astronomy outreach
- Languages: Portuguese (native), English (proficient)
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