About

Jay Shah is a highly motivated and accomplished PhD student in Computer Science at Arizona State University with a focus on using Deep Learning to identify biomarkers for Post-Traumatic Headache, Migraine, and Alzheimer's disease. He is currently collaborating with Mayo Clinic, Banner Alzheimer's Institute, and Barrow Neurological Institute in Arizona on these projects. Jay is also a podcast host, with over 150,000 downloads, and his homepage can be found at https://www.public.asu.edu/~jgshah1/. In addition to his academic pursuits, Jay has gained valuable industry experience as a Research Scientist Intern at Amazon, where he developed a closed-loop prototype for camera-based vitals monitoring of groups of patients using proprietary Philips's contactless monitoring technology, to be used in ICU and NICU. Prior to this, he worked as a Research Assistant at the Ira A. Fulton Schools of Engineering at Arizona State University and as a Research & Development Intern at Philips, where he worked with Nobel Laureate Frank Wilczek and Professor Nathan Newman to study human-color perception using Machine Learning to expand our senses. Jay's educational background includes a Doctor of Philosophy in Computer Science from Arizona State University, a Master of Science in Computer Science from Arizona State University, and a Bachelor of Technology in Information and Communication Technology from Dhiru Bhai Ambani Institute. He has a strong tech stack that includes experience in Research Scientist, Deep Learning, and Machine Learning. With 0.68 years of relevant experience, Jay is a highly skilled and knowledgeable researcher with a passion for using technology to improve healthcare outcomes. He is a valuable asset to any team and is always eager to take on new challenges and learn new skills.