Postdoctoral Associate
Ohad received his B.Sc in Computer Science, M.Sc in computational Neuroscience, and Ph.D. in Cognitive Sciences from the Hebrew University of Jerusalem while working as a data-scientist consultant in the tech industry. In his doctoral work, Ohad studied the algorithmic principles underlying human decision-making and learning, highlighting the role of intrinsic exploration drives (curiosity, entropy-maximization) in driving human behavior.
As a cognitive neuroeconomist, Ohad is interested in explanations rooted in neuroscience for value-based cognitive processes. To this end, he utilizes theories from neuroscience, methodologies from behavioral economics, and advanced statistical modeling to explain decision-making and learning processes. Some specific interests of his include the neural basis of decision making in obesity, behavior modulation using real-time fMRI (neurofeedback), and contextual effects in risk attitude.