Daniel Banitt

Daniel Banitt is a seasoned algorithms researcher and leader with extensive experience in the field of deep learning and algorithm development. Currently serving as a Senior Applied Algorithms Researcher at Airis Labs since August 2024, Daniel previously held the position of Algorithms Researcher at Trigo, where responsibilities included full project ownership and tackling various algorithmic challenges. Prior experience includes leading an algorithm team at Axon Pulse, focusing on deep learning, machine learning, and real-time analytics, as well as serving as a Deep Learning Engineer at Razor Labs, where contributions included the development of novel neural network architectures and video classification R&D. Daniel began their career with a summer internship at CERN and holds a Master of Science in Physics from the Weizmann Institute of Science and a Bachelor’s Degree in Physics from Ben-Gurion University of the Negev.