![Portrait image of Peter Kairouz](https://appliedmldays.org/rails/active_storage/blobs/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBZ2dFIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--1617f29f7a36fe052c4331091114853dff9b4149/Screenshot%202020-04-22%20at%2017.55.35.png)
Peter Kairouz is a researcher interested in machine learning, security, and privacy. At Google, he is a Research Scientist working on decentralized and privacy-preserving machine learning algorithms. Prior to Google, his doctoral and postdoctoral research have largely focused on building decentralized technologies for anonymous broadcasting over complex networks, understanding the fundamental trade-off between data privacy and utility, and leveraging state-of-the-art deep generative models for data-driven privacy.