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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 main interests is user authentication, where I study the use of machine learning for securing or attacking devices and services. An example is implicit user authentication, where a device or service continuously authenticates the user based on their behaviour and context. I have also worked on privacy-preserving technologies for location-based services and mobile applications, 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).