I'm a Software Engineer at Google, in the Seattle, WA area. Currently I lead Google's Privacy Working Group for Infrastructure.
Software Engineer at Google. Teams I've worked on while there have included:
Lead of Google's Privacy Working Group for cross-Google infrastructure systems
Developer tools infrastructure: Kythe, Google's open-source toolset for working with source code
Social infrastructure: Google's primary service for social graph data (contacts, profiles, chat relationships, etc.)
Search infrastructure: Google's crawler for rapidly-changing pages
Applied Researcher at Microsoft's Redmond campus, researching and developing technology relating to spam, phishing, reputation, reliability, performance, and security.
Ph.D. candidate in computer and information science, supervised by Padhraic Smyth; research focused on building predictive and descriptive machine learning models for social network data (especially time-evolving networks).
More information available at my resume.
In 2003, with two other UC Irvine graduate students, I co-created JUNG, a free and open-source Java software library for manipulating, analyzing, and visualizing network data. It's one of the top 2 Java open-source graph libraries, and is used widely in both industry and academia; to date it's been downloaded more than 300,000 times.
In 2015, I released a new Java graph library as part of Google's Guava libraries; it is also used widely. The next version of JUNG (in development) will replace its graph model with Guava's.
data privacy, scalable data protection, ethical use of personal data
system and process analysis, scaling, and optimization
helping people making intelligently informed decisions
graphs and hypergraphs
API and library design and implementation
data structure and algorithm design and analysis
predictive and descriptive machine learning models for social network data
distributed reputation models
technical writing and communication
information organization and retrieval