Dr. Romano’s PhD at the Technion was in Electrical Engineering. At Stanford, in the Statistics Department, he plans to provide a fresh theoretical view of deep learning by using models in signal and image processing. He notes that while deep learning has made important developments possible including speech recognition, computer vision, and signal and image processing, a theoretical understanding of it is needed in order to ensure that it is used responsibly. Dr. Romano spent a summer at Google Research, interning as an Image Processing Algorithm Developer. The algorithm he developed for increasing the resolution of an image revolutionized the activity of his team and is being used extensively by Google. He is admired for being as comfortable with theory and mathematics as he is with practical engineering problems that lead to products.