Elad Liebman is an AI researcher and professional curious person with extensive experience in data analysis, algorithm development, and programming. They served as an Assistant Professor of Instruction at The University of Texas at Austin, teaching courses in Artificial Intelligence and Machine Learning, and conducted research in these fields. Elad has contributed to various projects, including work at Schema and Sweetch, focusing on telecommunications and diabetes prediction, respectively. Currently, they are an Applied Scientist at Amazon and a Regular Contributor to a science podcast discussing AI and technology. Elad holds a Ph.D. in Computer Science from The University of Texas at Austin and multiple degrees from Tel Aviv University.
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