Ali has extensive knowledge in big data science and developing computation models predicting cardiovascular outcomes and computational genomics. Aside from being a well-respected physician, he has extraordinary knowledge of machine learning. Working as a physician in the U.S. healthcare systems for many years on the one hand and being proficient in computer science and coding languages on another hand, make him an ideal candidate to bridge the existing gap between doctors, hospital administrators, and computer engineers. In addition, his ability to develop and implement cost-effective strategies for the company makes him an invaluable asset to play a leading role in weighing clinical benefits, offering clinical guidance, and building relationships with the medical community. After graduating from medical school, he went to Yale for a research postdoctoral fellowship and clinical internal medicine residency. He continued his clinical training in cardiology at Johns Hopkins University.