Summary
James Honaker is a chief privacy engineer and research leader with 13+ years building production-grade differential privacy systems for academia, industry, and government. He blends translational research and large-scale engineering, having led DP initiatives at Meta, co-founded and exited a DP startup to Mozilla, and steers use-case development at OpenDP. At Harvard he has produced widely used tools (Amelia, Zelig, TwoRavens, PSI) and secured multi-million dollar grants to operationalize privacy tech, showing a rare mix of scholarly impact and product delivery. His work targets real-world AdTech and measurement problems—bringing DP algorithms into TEEs and cloud services for Lift, targeting, and attribution. He teaches and mentors on DP implementations, bridging theory, reproducible software, and policy-facing technical review. James’s career stands out for shipping privacy-preserving systems that move from prototype to billions in business value while remaining deeply engaged in open-source and interdisciplinary research.
13 years of coding experience
22 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Harvard University
California Institute of Technology