Abstract

Lisa Martin

University of Oxford

At the heart of privacy-preserving data analysis lies a fundamental paradox: privacy preservation aims to hide, while data analysis aims to reveal. The two concepts may seem completely irreconcilable at first, but – using the right approach – they need not be.

Our Data Strategist Lisa Martin spent two months researching this topic extensively, conducting interviews with industry experts and Startups alike. In this talk, Lisa will share her insights, and we invite you to join us in discussing one of the most pressing issues of the 21st century: data privacy.

Speaker bio

Lisa Martin graduated from the University of Oxford with an MSc in Economics for Development. Prior to this, Lisa studied economics with a strong focus on econometrics in Tuebingen, Boston and Nuremberg, completing a BSc in International Economics. She has worked as an intern in the Economic & Market Intelligence Department at Daimler in Stuttgart, as well as in management consulting at Oliver Wyman in Munich.

Lisa started working at idalab as a Summer Intern in August 2018 and subsequently joined our team full-time. Since October 2019, Lisa is a Ph.D. student in Economics at University of Oxford.