About
Elad Liebman is an Assistant Professor of Instruction at the Department of Computer Science, University of Texas at Austin, with prior roles as a PhD student and researcher at UT Austin and Tel Aviv University. His research spans machine learning, artificial intelligence, multiagent systems, and computational creativity, often intersecting with music and human decision-making.
His academic contributions include peer-reviewed publications on topics such as
- Distributed Multi-Agent Reinforcement Learning (AAAI-23)
- Music-Driven Decision Bias (Cognition and Emotion, 2017)
- Adaptive Playlist Generation (MIS Quarterly, 2019)
Elad has served as a
- Senior Data Scientist at SparkCognition (2018-2024)
- Applied Scientist at Amazon (2024)
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