Summary
Kien Nguyen is a Research Scientist based in Menlo Park with 10 years of experience building privacy-preserving data analysis and machine learning systems, currently deploying differential privacy and anonymization at scale on Meta’s Applied Privacy Tech team. He holds a Ph.D. in Computer Science from USC and has a strong applied research background in location privacy, geospatial data mining, and mobile systems from roles at USC, Microsoft, and Facebook. Kien blends deep research rigor with product-minded engineering—he led full-stack development of the USC SCORE app for COVID-era clinical trials and has shipped production pipelines for user privacy at Meta. Early career work in recommender systems and mobile infrastructure across VNG, Archer, and startups gives him a pragmatic edge for productionizing algorithms. He’s comfortable moving from algorithms and proofs to distributed data pipelines and mobile clients, with a track record of translating privacy research into real-world services.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Southern California
Vinh Phuc Gifted Upper-Secondary School
Engineer’s Degree, Information Technology, Engineer’s Degree, Information Technology at Hanoi University of Science and Technology
English, Vietnamese, Spanish