Paul Chafe

Founder and Chief Science Officer at Dandelion Networks Inc.
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Contact Information
us****@****om
(386) 825-5501
Location
Toronto, Ontario, Canada, CA

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Experience

    • Canada
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Founder and Chief Science Officer
      • Jan 2022 - Present

    • Canada
    • Defense and Space Manufacturing
    • 300 - 400 Employee
    • Deputy Commanding Officer - Grey and Simcoe Foresters
      • Jan 2023 - Present

    • Company Commander - Alpha Company, 32 Canadian Brigade Group Battle School
      • Sep 2015 - Present

    • Chief Instructor @ 32 Canadian Brigade Group Battle School
      • Sep 2020 - Jun 2021

    • Operations Officer - The Toronto Scottish Regiment
      • Sep 2013 - Sep 2015

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Faculty at the Department of Computer Technology - Blockchain
      • Jan 2020 - Present

    • Book and Periodical Publishing
    • 1 - 100 Employee
    • Book Author
      • Jan 1990 - Present

    • Armed Forces
    • 700 & Above Employee
    • Company 2IC - Charlie Company, 3rd Battalion, The Royal Anglian Regiment, British Army
      • Sep 2011 - Sep 2012

    • Canada
    • Defense and Space Manufacturing
    • 300 - 400 Employee
    • Company Commander, Alpha Company, The Toronto Scottish Regiment (32 Canadian Brigade Group)
      • Sep 2008 - Sep 2011

  • Venturi Power
    • Halifax, Nova Scotia, Canada
    • Founder
      • Jan 2003 - Mar 2004

      Designed and implemented flow control system for large scale power producing windmills. Designed and implemented flow control system for large scale power producing windmills.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • System on a Chip Architect
      • Sep 2002 - Mar 2003

      Designed and fabricated a silicon retina using P18 CMOS technology. The project used analog convolution with adjustable weights to perform first level retinal processing (eg, line recognition) on a 256x256 resolution silicon photosensor Designed and fabricated a silicon retina using P18 CMOS technology. The project used analog convolution with adjustable weights to perform first level retinal processing (eg, line recognition) on a 256x256 resolution silicon photosensor

Education

  • Canadian Army Command and Staff College
    LSC, Army Operations
    2012 - 2013
  • Dalhousie University
    Physics/Computer Engineering
    1997 - 2001

Community

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