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Akshay Goel, M.D. is a skilled professional with expertise in machine learning and radiology. Currently serving as a Software Engineer focused on health AI technologies at Google, Akshay Goel has previously held positions as an Associate Researcher at Weill Cornell Medicine, where significant contributions to AI research for autosomal dominant polycystic kidney disease (ADPKD) were made, including creating the first deployed radiology ML pipeline for measuring ADPKD volume. Earlier experience includes a role as a Machine Learning Scientist at Tempus Labs, developing comprehensive pipelines for radiology data management, and part-time work as an ER Teleradiologist at vRad. Akshay Goel's clinical training includes a residency in radiology at Columbia University Medical Center, complemented by a solid educational foundation with a Bachelor's degree in Computer Science from Carnegie Mellon University and a Doctor of Medicine degree from Rutgers Robert Wood Johnson Medical School.