Dr. Eman Alnabati

Dr. Eman Alnabati is an Assistant Professor in the Department of Computer Science and Artificial Intelligence at Umm Al-Qura University in Mecca, Saudi Arabia. She earned her PhD in Computer Science from Purdue University in the United States, where her research focused on protein structural modeling using electron microscopy maps. Her interests span bioinformatics, machine learning, artificial intelligence, computational methods, and health. Dr. Alnabati holds a Health Research Professional Certification from the Saudi National Institute of Health, which equips her with essential skills for conducting health-related research. She is a recipient of the prestigious MIT-KACST Ibn Khaldun Fellowship for Saudi Women and is currently working at the Computer Science and Artificial Intelligence Laboratory (CSAIL) under the supervision of Dr. Manolis Kellis.

Dr. Alnabati's research at MIT focuses on unraveling the genetic and epigenetic factors that contribute to type 2 diabetes (T2D). Her project harnesses advanced artificial intelligence (AI) techniques, combined with computational methods and bioinformatics tools, to analyze genomic data with the goal of identifying novel biomarkers and therapeutic targets for T2D. By integrating multi-omics data, she aims to construct comprehensive models of T2D pathogenesis, ultimately contributing to the development of personalized medicine approaches for more effective diabetes management.