Denysse Castillo received a Bachelor's degree in Logistics and Transportation Engineering (2023) and a Master's degree in Logistics and Supply Chain Management (2025), both with Honors, from Universidad Politécnica Estatal del Carchi, Ecuador. She is currently an independent researcher focusing on supply chain optimization, inventory management, data analytics, and artificial intelligence applications in logistics. She has participated in research projects and presented her work at national and international conferences on intelligent logistics, neural network-based supply chain models, business innovation, and digital transformation. She has received competitive scholarships for advanced training in Big Data, artificial intelligence, prompt engineering, Python for research, and Logistics 4.0. She has also collaborated with researchers from different countries on interdisciplinary projects. Her research interests include supply chain management, inventory optimization, machine learning, artificial intelligence, data-driven decision-making, and emerging technologies for improving logistics efficiency, resilience, and sustainability.