My name is Elad Liebman. Until December 2018 I was a PhD student at the Computer Science Department of UT Austin, where I had the great fortune of being advised by the great Prof. Peter Stone, and a proud member of the Learning Agents Research Group. I am currently a staff research scientist at SparkCognition. Also, as of 2023, I have returned to my academic home and I serve as an assistant professor of instruction at the Computer Science Department of The University of Texas at Austin.
My PhD research focused on sequential decision making problems related to content recommendation, with a special emphasis on music recommendation, musical preference learning, and preference elicitation in cultural settings in general. I am also interested in modeling the effects of musical stimuli on human decision making, and agents learning to interact with other agents (human or artificial) in social settings (for instance, playing music).
Generally speaking, my interests are in the fields of machine learning, artificial intelligence, data mining and multiagent systems. I am equally attracted to both the theoretical and the applicative sides of these research areas. In my years in the field I have worked on a very wide range of problems in fields spanning the gamut from bioinformatics and telecommunications to finance and robotics. Oh, anecdotally, I also have an Erdos number of 3 (thanks to my terrific MSc advisor, Prof. Benny Chor).
I was also fortunate enough to be a member of the UT Austin Villa Standard Platform League Team.
My PhD research focused on sequential decision making problems related to content recommendation, with a special emphasis on music recommendation, musical preference learning, and preference elicitation in cultural settings in general. I am also interested in modeling the effects of musical stimuli on human decision making, and agents learning to interact with other agents (human or artificial) in social settings (for instance, playing music).
Generally speaking, my interests are in the fields of machine learning, artificial intelligence, data mining and multiagent systems. I am equally attracted to both the theoretical and the applicative sides of these research areas. In my years in the field I have worked on a very wide range of problems in fields spanning the gamut from bioinformatics and telecommunications to finance and robotics. Oh, anecdotally, I also have an Erdos number of 3 (thanks to my terrific MSc advisor, Prof. Benny Chor).
I was also fortunate enough to be a member of the UT Austin Villa Standard Platform League Team.
