Leora Morgenstern

Principal Scientist at PARC, a Xerox Company
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Contact Information
us****@****om
(386) 825-5501
Location
Washington, District of Columbia, United States, US
Languages
  • English Native or bilingual proficiency
  • French Professional working proficiency
  • Hebrew Professional working proficiency

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Experience

    • United States
    • Research Services
    • 400 - 500 Employee
    • Principal Scientist
      • Mar 2020 - Present

    • Chair, Executive Committee
      • 2000 - Present

      Organizer of biannual Commonsense Reasoning Symposium Organizer of Winograd Schema Challenge Competition (2016), sponsored by Nuance Communications (co-organizer with Charlie Ortiz) Organizer of biannual Commonsense Reasoning Symposium Organizer of Winograd Schema Challenge Competition (2016), sponsored by Nuance Communications (co-organizer with Charlie Ortiz)

    • United States
    • Defense and Space Manufacturing
    • 400 - 500 Employee
    • Chief Scientist
      • 2019 - 2020

    • United States
    • Software Development
    • 700 & Above Employee
    • Senior Principal Research Scientist
      • 2018 - 2018

      Knowledge Representation, Inference, Epistemic Planning for the development of intelligent conversational systems; hybrid KR/Deep Learning methods for text understanding. Knowledge Representation, Inference, Epistemic Planning for the development of intelligent conversational systems; hybrid KR/Deep Learning methods for text understanding.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Principal Research Scientist and Technical Fellow
      • 2013 - 2017

      PRINCIPAL RESEARCH SCIENTIST, 2016- 2017PI of DARPA Big MechanismLeader of IRaDs in hybrid deep learning / knowledge representation systemsTECHNICAL FELLOW, 2013 - 2017SENIOR SCIENTIST, 2013 - 2016PI of DARPA and IARPA programs and seedlings, including Big Mechanism (2014-2017), TAILCM (2013-2014), and Machine Reading (2010-2013)Leader of Internal Research and Development efforts in social media analysis and deep learningLeader and contributor on multiple high-value proposals to government funding agencies Show less

    • Senior Research Scientist and Technical Fellow
      • Sep 2013 - May 2016

      PI of DARPA and IARPA programs and seedlings, including Big Mechanism (2014-2017), TAILCM (2013-2014), and Machine Reading (2010-2013)Leader of Internal Research and Development efforts in social media analysis and deep learningLeader and contributor on multiple high-value proposals to government funding agencies

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Senior Scientist
      • Aug 2010 - Sep 2013

      PI of DARPA Machine Reading Program and IARPA TAILCM seedling PI of DARPA Machine Reading Program and IARPA TAILCM seedling

    • United States
    • Non-profit Organizations
    • 1 - 100 Employee
    • Member of Rule Interchange Format (RIF) Working Group
      • 2006 - 2013

      Contributed to development of web standard for rule interchange; lead author of RIF Primer; co-author of Use Cases and Test Cases documents. Contributed to development of web standard for rule interchange; lead author of RIF Primer; co-author of Use Cases and Test Cases documents.

    • Higher Education
    • 700 & Above Employee
    • Visiting Research Scientist, Courant Institute of Mathematical Sciences
      • 2009 - 2010

      Developed formal theories of narrative and drama in order to automate analysis of business case studies. Developed formal theories of narrative and drama in order to automate analysis of business case studies.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Research Staff Member, IBM T. J. Watson Research Center
      • 1989 - 2009

      Developed and deployed technology to Fortune-500 solutions in a wide variety of industries, in the areas of decision support, knowledge management, customer relationship management, business rules, and the semantic web. Developed and deployed technology to Fortune-500 solutions in a wide variety of industries, in the areas of decision support, knowledge management, customer relationship management, business rules, and the semantic web.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Adjunct Assistant Professor
      • 1999 - 2000

      Taught graduate and undergraduate course on knowledge representation. Concurrent with position at IBM Watson. Taught graduate and undergraduate course on knowledge representation. Concurrent with position at IBM Watson.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Adjunct Associate Professor
      • 1996 - 1997

      Graduate seminar, modal and epistemic logics, knowledge representation, Concurrent with position at IBM Watson. Graduate seminar, modal and epistemic logics, knowledge representation, Concurrent with position at IBM Watson.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Assistant Professor
      • 1987 - 1989

      Taught classes on artificial intelligence, knowledge representation, logic seminars, and discrete math to graduate and undergraduate students; advised doctoral, masters, and undergraduate students; researched nonmonotonic and epistemic logics. Taught classes on artificial intelligence, knowledge representation, logic seminars, and discrete math to graduate and undergraduate students; advised doctoral, masters, and undergraduate students; researched nonmonotonic and epistemic logics.

    • United States
    • Research Services
    • 700 & Above Employee
    • Summer Student
      • 1985 - 1985

      Designed solutions to logical paradoxes such as the Knower Paradox in first-order syntactic epistemic logics. Designed solutions to logical paradoxes such as the Knower Paradox in first-order syntactic epistemic logics.

Education

  • New York University
    Ph.D., Computer Science (Courant Institute Of Mathematical Sciences)
  • City University of New York City College
    B.A., Mathematics, Philosophy (Double Major)

Community

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