Hadar joined the BrainGate team in 2023 as a postdoctoral research fellow with Dr. Daniel Rubin and Prof. Leigh Hochberg at MGH and Brown University. She is investigating language encoding in the brain and how it maps to language model representations in artificial neural networks. Specifically, her research focuses on understanding hierarchical representations and how they can enhance language decoding in brain-computer interfaces.

Hadar earned a B.Sc. degree in Physics and Chemistry, followed by a Master’s degree in Physics from the Hebrew University of Jerusalem. She completed a Ph.D. in Computational Neuroscience at ELSC center for Brain Sciences at the Hebrew University of Jerusalem, under the guidance of Prof. Naftali Tishby and Prof. Oren Shriki. Her research involved investigating how information-theoretic models of memory compression corresponded with brain activity, and their potential applications in brain-computer interfaces. Her work combined experimental work, theoretical modeling, and engineering aspects of data analysis and BCI platform development. Prior to joining BrainGate, Hadar was a postdoctoral research fellow at ELSC, working with Dr. Mor Nahum and previously with Prof. Naftali Tishby. During this time, she developed and explored a platform for a cognitive brain-computer interface using EEG, targeting surprise signals and working memory function.