Tomer Galanti is an Assistant Professor of Computer Science at Texas A&M University. He is a researcher in the field of artificial intelligence, with a focus on deep learning, large language models (LLMs), and machine learning. His work combines theoretical and experimental approaches to develop realistic models of modern learning systems, aiming to improve practices in AI. Before joining Texas A&M, he was a postdoctoral associate at MIT's Center for Brains, Minds & Machines, where he collaborated with Tomaso Poggio. He earned his Ph.D. in computer science from Tel Aviv University under the supervision of Lior Wolf. Additionally, in 2021, he interned as a Research Scientist with the Foundations team at Google DeepMind, working primarily with Andras Gyorgy and Marcus Hutter.