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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

 

 

Tim Curley
Tim Curley
Senior 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

 

Deokwoo
  • machine learning algorithms
  • self-aware and self-healing cyber physical systems
  • Ph.D., Electrical and Computer Engineering, Yale University; M.S., Electrical and Computer Engineering, University of Michigan, Ann Arbor; B.S., Radio Communication Engineering, Yonsei University, Seoul, South Korea

 

Raj Minhas
Raj Minhas
Vice President, Director of 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

 

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