Eitan Hemed, PhD

Current position

I am a postdoctoral researcher with Prof. Marcel Brass at Humboldt University of Berlin, and a fellow of the Science of Intelligence Excellence Cluster. Currently, I am working on observational learning reinforcement learning - i.e., how we learn to maximize rewards from the actions and outcomes of others.

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In the past

In my previous postdoctoral research I led attempt to study how infants learn to move voluntarily, mainly through studying early reaching behavior (currently still undergoing). To do so we used pose-estimation methods to track infants’ movements from videos captured during free play (e.g., this poster). In this project I continued to collaborate with my PhD mentor Prof. Baruch Eitam, and also work with Prof. Hagit Hel-Or and Dr. Sagi Jaffe-Dax. In this position I was a postdoctoral fellow of the Data Science Research Center at the University of Haifa.

In my PhD studies, I was mentored by Prof. Baruch Eitam. I used behavioral experiments to test how different statistical properties of action-effect feedback reinforce independent levels of action-selection (e.g., this paper).