My name is Ohad, and I'm a PhD student at the Hebrew University.
I've completed my M.Sc in computational neuroscience at the lab for understanding neurons (of Prof. Idan Segev).
These days I develop algorithmic models of human decision making and learning at the lab of Prof. Yonatan Lowenstein. I'm interested in a theoretical understanding of how we, humans, learn from experience and make decisions. To this end, I analyze real-world behavior, and design lab-experiments to extract faithful descriptions of the way we learn from experience and use this knowledge to steer ourselves towards future prospects.
Frequently modeling behavior in the framework of reinforcement learning, I regularly utilize generic reward (mostly, money), but often deviate to using less tangible forms of feedback such as information as a reward - probing what is curiosity and how boredom or entropy maximization may shape our preferences.
I am a student at the Federmann Center for the Study of Rationality and a fellow of the Hoffman Leadership and Responsibility Fellowship Program.
Interested in what I'm up to these days? I summarize, and occasionally update, the list of projects I'm working on here. I'm always happy to get feedback and discuss new ideas - if you are interested in the topics I work on, please feel free to reach out.