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Tomer Galanti is an Assistant Professor at Texas A&M University in the Department of Computer Science & Engineering. His research focuses on machine deep learning, large language models, and artificial intelligence. He has a strong academic background with a Ph.D. in Computer Science from Tel Aviv University, where he also completed his M.S. in Computer Science and B.S. in Mathematics Computer Science. Before joining Texas A&M University, he was a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), where he continued to advance his research in the application of machine learning techniques.
Massachusetts Institute of Technology • Cambridge, MA
Conducted advanced research in machine learning and artificial intelligence.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.