Payman Mohassel

I have founded and bootstrapped multiple teams of engineers and researchers across North America and Europe who are shaping Meta's future Privacy Infrastructure. We build Meta's anonymization technologies and standards serving all its products and use cases (e.g. Generative AI, Monetization, Family of Apps and Reality Labs) and all data types (structured and unstructured).

We build a portfolio of privacy enhancing technology (PET) that provide strong and verifiable guarantees of privacy. We take these PETs from ideas all the way to scalable and reusable platforms and infrastructure that power data minimization at scale. We build cutting edge solutions that push the industry forward and give back to the community through publicly sharing our designs, open sourcing our code and collaborating with academic and non-profit organizations.

I led & supported a team of high caliber cryptography engineers and researchers who helped design & build the cryptography algorithms, libraries and protocols that powered Meta's blockchain effort.

I lead Visa Research's advanced cryptography team, where I help build a world-class program with expertise in advanced cryptography. We work on challenging problems ranging from privacy-preserving machine learning, search on encrypted data, distributed secret management, user authentication, post-quantum cryptography, protocol analysis, and privacy for cryptocurrencies. We engage with engineering, products, business partners, and academics to develop new technologies that will shape the future of secure payments and data protection.

At Yahoo Labs I work on projects related to user/device authentication, data protection at rest and in transit, making End-to-End encryption practical, designing new crypto libraries/protocols, and applying privacy-enhancing technologies to practice.

My research spans information security, cryptography, and privacy-enhancing technologies, with a focus on bridging the gap between theory and practice. Key areas include privacy-preserving machine learning, secure multi-party computation, encrypted data search, and post-quantum cryptography.