Amara Naqui is a Bioinformatics researcher with a strong academic background in computational biology, artificial intelligence, and plant genomics. She holds a BS and MS degree in Bioinformatics, with a CGPA of 3.83 in BS and 3.63 in MS out of 4.00. Her research focuses on the application of artificial intelligence and deep learning to wheat genomics, particularly the identification and prediction of genes and transcriptomic patterns associated with improved wheat yield and crop efficiency. Her research interests include plant genomics, agricultural bioinformatics, genome analysis, transcriptomics, machine learning, and AI-driven approaches for improving crop productivity. She is particularly interested in integrating computational methods with plant science and agriculture to address challenges related to food security and sustainable crop production. Alongside her research interests, Amara has experience in academic coordination, project management, curriculum development, and educational program implementation. She aims to contribute to interdisciplinary research at the intersection of bioinformatics, artificial intelligence, plant science, and agriculture.