Dr. Gil Shamai completed his BSc, MSc, and direct PhD at the Faculties of Electrical Engineering and Computer Science from 2008 to 2020. His research earned several prestigious awards, including the Meyer Prize, Finzi Prize, and the Sherman Interdisciplinary Graduate School Fellowship.
During the initial phase of his graduate studies at the Geometric Image Processing Laboratory, led by Prof. Ron Kimmel, Gil primarily focused on computational geometry. He developed several innovative and efficient techniques for embedding high-dimensional points into low-dimensional spaces and crafted methods for non-rigid shape matching.
Later, Gil shifted his focus to histopathology image analysis, employing machine learning techniques. Towards the end of his Ph.D. in 2019, he published groundbreaking evidence demonstrating that tumor molecular markers can be predicted using deep learning algorithms analyzing the architecture visible in digitized biopsy images.
Currently, Gil is in his fifth year of postdoctoral research at the GIP, where he leads the GIP-Medical research team. His team is dedicated to analyzing biopsy images to predict molecular biomarkers, assess cancer prognosis, and evaluate the impact of cancer treatments.
Everyone has the potential to develop a broad range of skills beyond just academic ones. Take the opportunity to enhance your abilities in communication, emotional and social intelligence, adaptability, self-motivation, and self-discipline, as they are just as important for personal growth, fulfillment, and success.