Einav
Gozansky

Einav Gozansky is a PhD student in in the School of Psychological Sciences at the University of Haifa under the supervision of Prof. Hadas Okon-Singer and Prof. Irit Weissman-Fogel.

Her research combines knowledge from the fields of cognitive psychology, pain physiology, and data science.

She employs advanced machine learning methods to examine the effects of cognitive-emotional computerized trainings on experimental pain outcomes. In her research, Einav trains healthy individuals using different methods and examines changes in cognitive, emotional, and autonomic physiological factors following her interventions. Her research aims to enhance our understanding of basic pain modulation mechanisms and thus facilitate more personalized training interventions that address individual differences in pain perception. This line of research is based on Einav’s expertise in advanced analysis of connections between variables. Previously, she used modelling approaches to explore factors predicting the development of depression symptoms during the COVID-19 pandemic.

Einav grew up in Ramat Gan and currently lives in Haifa. She received her BA in psychology and cognitive sciences from Ben-Gurion University of the Negev and her MA in clinical neuropsychology from the University of Haifa. Einav is also interested in social and environmental activities and has volunteered in a number of social organizations, such as the Green Course, the Summit Institute, and a social development project in Mexico. In her spare time, she enjoys travelling both in Israel and abroad, cooking, yoga, and hanging out with friends.