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     Committed to advance in the quality and safety of foods, he brings together AI, machine learning, data analytics, chemistry, and food processing and quality control. Holding a background in food science, technology, and engineering, he was a Ph.D. recipient from the Rural Federal University of Rio de Janeiro – UFRRJ, Brazil (2023) and conducted research at UIUC on data modelling, e-nose systems, and smart dryers in a sandwich program.
     One of his current research focuses on developing an online, portable, low-cost e-nose (OPLCEN) to enhance food safety in small industries in underdeveloped and developing countries like Brazil. This wireless system will detect adulteration, ensure food freshness, and provide real-time monitoring via computers and mobile devices. By integrating AI-driven data acquisition, OPLCEN aims to help small businesses prevent food poisoning and waste while improving food security. Designed for accessibility, this innovation will support the Brazilian food industry by reducing losses and making fresh food more widely available.