Summary
Riley Wong is a principal researcher and engineer with 11 years’ experience at the intersection of machine learning, privacy, and governance, currently leading work at Emergent Research on cryptographic tools (ZK, MPC, FHE) to enable collective agency and safer digital intimacy. They previously built production-scale ML pipelines and generative models at Google, applied interpretable ML in clinical settings at Penn Medicine, and produced investigative data journalism at ProPublica. Riley blends hands-on ML engineering with applied cryptography and policy-minded research, frequently collaborating with communities vulnerable to surveillance and harm. A Recurse Center alum and member of multiple future-architect networks, they bridge academic rigor and pragmatic product delivery while centering ethics and consent in technical design. An under-the-radar strength is their track record shipping both production systems and publishable research that influence health, civil liberties, and queer/trans community safety.
11 years of coding experience
8 years of employment as a software developer
University of Otago
Computer Science, Computer Science at The University of Tennessee at Chattanooga
Bachelor of Applied Science (BAS) Computer Science, Bachelor of Applied Science (BAS) Computer Science at University of Pennsylvania