Bio

I am an ML Software Engineer at Google Health and a physician scientist passionate about improving healthcare. I have designed and implemented org-first deep-learning/computer-vision pipelines at UT Southwestern, Tempus Labs, and Weill Cornell Medicine, including data curation/annotation, model training, and real-world clinical deployment. I have also founded and led product development of an award-winning cloud annotation platform for radiology AI (Radlearn.AI). Clinically, I have expertise in diagnostic radiology. I completed my radiology residency at Columbia University and my fellowship in Abdominal Imaging at Weill Cornell Medicine. I'm always up for conversations intersecting technology and healthcare, so please reach out if you have a common interest! ➤ Twitter: twitter.com/AkshayGoelMD ➤ GitHub: github.com/aksg87