Nina Taft is a Senior Staff Research Scientist at Google where she leads the Applied Privacy Research group. Prior to joining Google, Nina worked at Technicolor Research, Intel Labs Berkeley, Sprint Labs and SRI. She received her PhD from UC Berkeley. Over the years, she has worked in the fields of networking protocols, network traffic matrix estimation, Internet traffic modeling and prediction, intrusion detection, recommendation systems and privacy. Her current interests like in applications of machine learning for privacy, private data analytics, and user experience. She has been the chair or co-chair of the SIGCOMM, IMC and PAM conferences. (While some papers are listed here, see Google Scholar for a complete listing.)