- BSc, Cardiac Technology – Imam Abdulrahman Bin Faisal University
- MSc, Medical Ultrasound (Echocardiography) – Imperial College London
- DPhil, Cardiovascular Medicine – University of Oxford
Dr. Alsharqi holds a DPhil (PhD) in Cardiovascular Medicine with a focus on Artificial Intelligence from the University of Oxford, where she developed novel machine learning techniques for cardiovascular image analysis and clinical outcome prediction. Prior to joining MIT, she served as an Assistant Professor of Cardiovascular Medicine at Imam Abdulrahman bin Faisal University. She brings a unique interdisciplinary background spanning cardiovascular physiology, imaging, and AI-driven data science. As a postdoctoral associate in the Edelman Laboratory at MIT, Dr. Alsharqi leads efforts to develop predictive and mechanistic models of acute heart failure and mechanical circulatory support (MCS) using multimodal data. Within the Machine Learning and Simulation Group, she focuses on advancing the clinical translation of cardiovascular image processing and generative modeling pipelines. Her expertise in managing big data workflows, integrating electronic health record data with physiologic signals, and applying AI to derive clinically meaningful insights is central to identifying phenotypes of cardiovascular diseases progression and therapeutic response. Beyond her lab-based work, Dr. Alsharqi has contributed to global research initiatives linking Saudi Arabia, the UAE, India, South Africa, and Japan with leading institutions in the UK and US. Through these collaborations, she drives the development of inclusive and globally relevant approaches to cardiovascular science and digital health innovation.