I’m an Assistant Professor of Marketing and Data Science at the Arison School of Business, Reichman University. My research explores how individuals and firms navigate data-rich environments, with a focus on privacy, decision-making, and digital behavior. I study topics such as responses to data breaches, perceptions of privacy risk, and the design of privacy-preserving technologies. More broadly, I aim to understand how people make choices when information is incomplete, uncertain, or asymmetric—especially in the context of digital markets and platforms.
Methodologically, I draw on tools from causal inference, computer science, statistics, and behavioral science to develop models and interventions that improve individual and societal outcomes. My ongoing projects span privacy-preserving data integration, financial decision-making in social trading platforms, and the design of more transparent and accountable data systems.
I hold a PhD in Quantitative Marketing from the Ross School of Business at the University of Michigan. Before entering academia, I worked as a software engineer and technical team lead at Intel Corporation. I also hold a BSc in Computer Science and an MBA (with honors) from The Hebrew University of Jerusalem.