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Yael Niv is a leading researcher in the field of computational neuroscience, focusing on the intersection of decision-making processes and learning. Her work advances our understanding of how neural data can inform computational models that predict behavior in response to varying experiences. Her research explores not only the fundamental cognitive processes underlying decision-making but also how these processes can be leveraged to tailor treatments for mental health conditions. Niv has been instrumental in developing frameworks for understanding how goals influence information-seeking behaviors, which have broad implications for both cognitive science and clinical applications. Over her career, she has mentored numerous students and postdocs, fostering a collaborative lab environment that emphasizes the importance of training the next generation of scientists. With a regular participation in academic conferences and workshops, she actively disseminates her findings and engages with the scientific community.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.