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PEOPLE:

 

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

 

 

Danny Bobrow
  • community knowledge sharing systems
  • natural language-based, broad-coverage system for question answering
  • over 100 published papers, books, and issued patents
  • President of AAAI; Editor-in-chief, Artificial Intelligence; ACM and AAAI fellow

 

Tim Curley
Tim Curley
Director of Business Development

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  • focusing on drug delivery, contextual intelligence, and more
  • develops commercial partnerships and creates routes to revenue opportunities
  • developed partner and go-to-market strategies for startup and Fortune 1000 companies
  • MBA, Strategy, Pepperdine University

 

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

 

Gaurang Gavai
  • applications in embedded reasoning and machine learning with a focus on social network data analysis and technical infrastructure development therein
  • Master's in Computer Science with a specialization in Machine Learning, Georgia Institute of Technology; Bachelor's in Information Technology, University of Mumbai

 

Teresa Lunt
Teresa Lunt
Vice President, Computing Science Laboratory

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  • directs wide range of research activities including content-centric networking, ethnography, and ubiquitous computing
  • 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

 

Raj Minhas
Raj Minhas
Vice President, Interaction and Analytics Lab

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  • directs wide range of research activities including high performance computing, cognitive science, agile organizations and machine learning
  • Ph.D. and M.S.. Electrical and Computer Engineering, University of Toronto; B.E., Delhi University

 

Mike Roberts
  • architects and manages projects in the area of contextual intelligence, such as PARC's Contextual Intelligence Platform (CIP) and Contextual Agents projects
  • smart machines, advanced user interfaces for contextually aware applications, virtual and augmented reality, and scalable cloud-based distributed systems for the real-time web
  • Ph.D., London's City University

 

Jatinder Singh
Jatinder Singh
Director of Mobile Innovation Strategy

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  • business, innovation, and research in networking, computing, telecommunications and mobile platforms
  • directs mobile innovation and develops market, product, and commercialization strategies
  • Ph.D., M.S., Electrical Engineering, Stanford University; B.S., Electrical Engineering, IIT New Delhi

 

 

 

Nacho Solis
  • senior researcher and key member of CCN program team
  • PI for various PARC projects for DARPA
  • wide range of expertise – from distributed server-less applications to contention-free MACs
  • addresses network challenges through content-based networks and various content-based applications.
  • Ph.D., UC Santa Cruz; M.Sc., USC; B.S., University of Costa Rica

 

 

 

 

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

 

Aaron Wilson
  • research lies within the field of machine learning where he has focused on automated decision making, active learning, inference, and reasoning
  • currently working on active learning, behavior analysis, and relational analysis to support anomaly detection
  • Ph.D., Computer Science, Oregon State University