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 Saudi Arabia. She earned her PhD in Computer Science from Purdue University, where her research focused on machine learning for protein structural modeling. Her work now centers on artificial intelligence and machine learning, with particular interests in reliable and equitable AI, including applications in healthcare and biomedicine.

As an MIT-KACST Ibn Khaldun Fellow, Dr. Alnabati conducted research with Prof. Marzyeh Ghassemi and the HealthyML group at MIT. She is also a Research Affiliate at the Jameel Clinic for Machine Learning in Health. During the fellowship, she organized the AI for Society Seminar Series and served on MIT’s Committee on the Use of Humans as Experimental Subjects (COUHES). She continues her research with Prof. Ghassemi and HealthyML as a Research Affiliate at LIDS.

Dr. Alnabati’s research at MIT examines how AI systems for biomedical and healthcare applications perform across populations and settings. She studies fairness in machine learning models for genomic prediction across patient populations, and she develops new methods for assessing the clinical fidelity of generative models for medical imaging. Both projects aim to identify limitations that may be missed by conventional measures of model performance.