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Elad Liebman is an Assistant Professor of Instruction in the Department of Computer Science at the University of Texas at Austin. He is a member of the Learning Agents Research Group and has a foundational background as a PhD student. His research primarily focuses on sequential decision-making in content recommendation systems, with a specific emphasis on music. Elad's research interests are wide-ranging and include machine learning, artificial intelligence, data mining, multiagent systems, and their applications across diverse domains such as bioinformatics and robotics. His academic journey has been marked by a commitment to bridging theory and practical application, enhancing understanding of complex systems. Throughout his career, he has received several accolades for his academic excellence, reflecting his contributions to the field.
University of Texas at Austin • Austin, TX
Teaching and research in various areas of Computer Science.
Amazon •
Working on research and application of machine learning in product development.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.