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My research is in information privacy and computer and networks security with a focus on security and privacy challenges that arise in the context of smartphones, mobile applications, and IoT. One of my interests is using machine learning for securing and breaking services. An example is behavioural user authentication, where a smartphone continuously authenticates its owner based on their behaviour. I also work on privacy-preserving technologies for location-based services and mobile applications that protect users from having to share personal information with service and application providers. I have also worked on privacy-preserving location verification technologies, genomic privacy, and end-to-end voter-verifiable voting systems.

I am a member of the Cryptography, Security, and Privacy (CrySP) research group, the Cybersecurity and Privacy Institute (CPI), and the Systems and Networking Group.

I completed my Ph.D. in Computer Science at Carnegie Mellon in August 2005. Prior to that, I received an M.S. in Computer Science from Carnegie Mellon and a Dipl. Informatik-Ing. ETH from ETH Zürich (Curriculum Vitae).