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Victoria Bellotti
  • Research Fellow and developer of PARC's Opportunity Discovery research and strategic investment targeting program
  • personal information management, task management; user-centered design of context- and activity-aware computing systems
  • Ph.D. in Human Computer Interaction from Queen Mary and Westfield College; M.S. in Ergonomics, and B.S. in Psychology from University College, all within London University in the United Kingdom
  • 20 patents
  • awarded membership of the ACM SIGCHI Academy for her contributions to the field and professional community of Human Computer Interface



Hoda Eldardiry
  • machine learning, knowledge discovery, data mining
  • social network analysis, ensemble classification, statistical relational learning
  • fraud analysis and anomaly detection
  • Ph.D., M.S., Computer Science, Purdue University


Teresa Lunt
Teresa Lunt
Vice President, Content-Centric Networking

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  • Vice President, Content-Centric Networking
  • previously Vice President, PARC's Computer Science Laboratory
  • was an Assistant Director and Program Manager in DARPA's Information Technology Office; led teams at SRI International
  • M.A., Applied Mathematics, Indiana University, A.B., Geophysics, Princeton University


Eric Saund
  • computational vision, specializing in perceptual organization in the domain of document images.
  • ScanScribe document image editor
  • B.S. in Engineering and Applied Science, California Institute of Technology. Ph.D. in Cognitive Science from the Massachusetts Institute of Technology


Ersin Uzun
Ersin Uzun
Vice President, Computing Science Laboratory

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  • Vice President, Computing Science Laboratory
  • directs research programs in next-generation networking technologies, network security, data privacy and human-computer interactions
  • leads innovation services offerings including rapid prototyping, design thinking, ethnographic studies, innovation management and commercialization strategy
  • Ph.D., UC Irvine, Computer Science; M.S., UC Irvine, Networked Systems



Jesse Vig

  • intersection of machine learning, social computing, and human-computer interaction
  • builds systems that learn from the collective behavior of users
  • designs intelligent interfaces driven by discovered knowledge
  • best paper awards at Conference on Intelligent User Interfaces
  • PhD, Computer Science, University of Minnesota; BA, Mathematics, Oberlin College