Daniel Hugenroth

Dr. Daniel Hugenroth is a Post-doctoral Researcher at the University of Cambridge's Department of Computer Science and Technology. His research focuses on applied cryptography, secure protocols, anonymity, and mobile systems, with an emphasis on bridging theoretical concepts and real-world implementations. He also emphasizes software engineering best practices, including maintainability and example-driven development.

His work spans cryptographic protocol design, secure communication systems, and privacy-preserving technologies for mobile devices. Notable projects include Sloth (Secure Element-based encryption) and Spectrum (cross-platform image processing). He has contributed to open-source libraries like Fresco and authored articles on topics ranging from A/B testing to linear programming in scheduling.

Recent research highlights include verifiable AI safety benchmarks using trusted execution environments, privacy-preserving user discovery in anonymity networks (e.g., Pudding), and energy-efficient anonymity protocols for mobile systems.

Dr. Hugenroth teaches Cryptography and Protocol Engineering at the MPhil/Part III level. His publications address both foundational security challenges and practical software engineering solutions.