Dana Turjeman

In my research, I focus on the intersection between privacy and customer behavior. I use and develop quantitative methods, in the domains of causal inference, machine learning and statistical modeling, in order to answer substantive questions in these topics, in order to improve on privacy preserving methodologies, and in order to help users make better decisions to protect their privacy.

Prior to the doctoral program, I earned a BSc in Computer Science and an MBA (with honors) from the Hebrew University of Jerusalem. I also worked as a software engineer and as a technical team lead at Intel Corporation.

Education

• Doctor of Philosophy (Ph.D.) University of Michigan - Stephen M. Ross School of Business (2014 — 2021)
• Master of Business Administration (MBA) The Hebrew University (2010 — 2012)
• Bachelor of Science (BSc) The Hebrew University of Jerusalem (2007 — 2010)

Companies

• Assistant Professor Reichman University (IDC Herzliya) (2021)
• PHD Student University of Michigan Ross School of Business (2014 — 2021)
• SW Developer and Team Lead Intel Corporation (2011 — 2014)
• Hardware Validation Engineer Intel Corporation (2008 — 2011)

Publications

• Turjeman, Dana and Fred M. Feinberg (2020), “Our Data Driven Future: Promise, Perils and Prognoses”. Review of Marketing Research: Continuing to Broaden the Marketing Concept, Vol. 17

Working Papers

• Turjeman, Dana and Fred M. Feinberg, “When the Data Are Out: Measuring Behavioral Changes Following a Data Breach” (invited to revise and resubmit, Marketing Science)

• Ying Fan, A. Yeşim Orhun and Dana Turjeman (alphabetical order), “Heterogeneous Actions, Beliefs, Constraints and Risk Tolerance During the COVID-19 Pandemic”. NBER Working Paper No

• Dooley, Samuel, Dana Turjeman, John P. Dickerson, and Elissa M. Redmiles, “Field Evidence of the Effects of Pro-sociality and Transparency on COVID-19 App Attractiveness”.