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Daniel Wong received a BA from the University of Cambridge, and is a PhD student in Carnegie Mellon University's Computer Science Department. Daniel's research interests are in designing scalable and secure distributed systems. Daniel is a member of the CMU Parallel Data Laboratory and works on Mainstream, which is a scalable machine learning system part of the Intel Science and Technology Center for Visual Cloud Systems. Daniel has also worked on consistency for large-scale distributed systems during internships at Dropbox and Facebook.

More details: Résumé | LinkedIn