PEPR '19 Conference Program

Sha Sundaram is a seasoned privacy and security engineer. She has brought her 10 years of experience in privacy engineering at Google and Symantec Research Labs to lead Snap’s Privacy Engineering team. She has been instrumental in building Snapchat app features with privacy in mind. She has been responsible for building infrastructure and supporting GDPR compliance for Snap engineering. Back from maternity leave, she is excited to put together new privacy projects.

Sha holds an MS in Computer Science from Stanford University. Her first major influence was John Mitchell at Stanford University where she worked on the TRUST (Team for Research in Ubiquitous Secure Technology) team as well as early efforts of privacy for theoretical computer science.

Steve Weis is a cryptographer & entrepreneur who focuses on securing people's data with applied cryptography. He is currently a Technology Policy Fellow at the Aspen Institute. Previously, Steve was a software engineer at Facebook working on data privacy.

Andreas Schou is a Staff Privacy Engineer in the Privacy and Data Protection Office at Google, focusing on Google’s abuse and machine learning systems. His work centers on preventing memorization and disclosure of user data by machine learning models and minimizing exceptional data handling in production abuse systems.

Gennie conducts and manages research and advocacy for the Electronic Frontier Foundation on consumer privacy, surveillance, and security issues. Prior to joining EFF, Gennie earned a Master of Library and Information Science from the University of Washington Information School, where she published on Internet censorship in Thailand and zero-rating in Ghana, as well as investigating mobile access and technology terms in Myanmar (Burma) and public Internet access in Laos. While at the UW, she also co-founded and led a successful initiative for a university Open Access policy.

Yash Doshi is a senior engineer at Uber, leading technical data deletion initiatives. Prior to Uber, he spent more than a decade working on large scale enterprise distributed systems.

David Zeber is a research engineer at Mozilla. Reaching across data science, machine learning and differential privacy, his work focuses on collecting and modeling user data in a privacy-preserving way to improve user experience in the Firefox browser and on the Web.

Diane is the security and privacy lead for the Mixed Reality team at Mozilla. She studied at Johns Hopkins University where her research was focused in applications of machine learning to cryptography. She’s currently developing new paradigms for privacy and consent in MR environments

Maggie Oates is a Societal Computing PhD student at Carnegie Mellon University interested in applying arts-based methods in computing research. She graduated from Indiana University with a BS in Computer Science and currently serves on the Board of Trustees for AnitaB.org, a global nonprofit serving women in computing.

Divya Sharma is a Senior Privacy Engineer in Google Search and Assistant Privacy team. Previously, she has held roles as privacy engineering lead for Google AI Healthcare Research and for Google Assistant, as part of the Central Privacy and Security Engineering team. Her research interests lie at the intersection of privacy and security, accountability, applied machine learning and human‐computer interaction. Prior to Google, Divya was at Thomson Reuters where she led the ‘Privacy by Design' initiative for Thomson Reuters, and also worked in the Applied Machine Learning Research team.

Divya completed her PhD at Carnegie Mellon University, specializing in data privacy and security.

Alison leads Security and Privacy programs at Calibra, Facebook’s Blockchain effort. Prior to joining Facebook, she was a Privacy Engineering Manager at Snap and spent almost 10 years at Google where her work included leading Privacy Incident Response, Privacy M&A and incident management for GSuite. She started her career on the quieter side of engineering in technical writing. At Google she managed Android and Chrome writers and at Sun Microsystems, she co-wrote The Java Tutorial site and book series. She holds a BA from UC Berkeley.

Sha Sundaram is a seasoned privacy and security engineer. She has brought her 10 years of experience in privacy engineering at Google and Symantec Research Labs to lead Snap’s Privacy Engineering team. She has been instrumental in building Snapchat app features with privacy in mind. She has been responsible for building infrastructure and supporting GDPR compliance for Snap engineering. Back from maternity leave, she is excited to put together new privacy projects.

Sha holds an MS in Computer Science from Stanford University. Her first major influence was John Mitchell at Stanford University where she worked on the TRUST (Team for Research in Ubiquitous Secure Technology) team as well as early efforts of privacy for theoretical computer science.

Giles was the engineering lead for privacy review at Google for the last 2 years. He spent 14 years at Google, and led the internal payments team to scale and secure the system. He has worked on public facing internet websites since 1996.

Giles received a B.Sc. (Hons) Mathematics from the University of Warwick in 1995.

Rebecca Weiss is the Director of Data Science at Mozilla. She leads a team focusing on generating insights into the state of the browser and the Web at large. She was also the lead Data Steward of Firefox, where she worked on creating privacy standards for data collection in the browser. Previously, she was a Fellow at the Berkman Center for Internet and Society as well as the Brown Institute for Media Innovation. She holds a PhD from Stanford, a SM in Technology Policy from MIT, and a BA in Cognitive Systems from the University of British Columbia. She also knows a surprising amount about comic books and video games.