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Daniel J Wiedeback

age ~43

from Beaverton, OR

Also known as:
  • Daniel Justin Wiedeback
Phone and address:
4870 SW 139Th Ave, Beaverton, OR 97005

Daniel Wiedeback Phones & Addresses

  • 4870 SW 139Th Ave, Beaverton, OR 97005
  • Aloha, OR
  • Portland, OR
  • Moscow, ID
  • 3367 N Pepperwood Dr, Boise, ID 83704 • 208 375-2061
  • 2314 NW Redelfs Way, Beaverton, OR 97006 • 208 375-2061

Work

  • Company:
    Dexcom
    Mar 2018
  • Position:
    Senior engineer - software development

Education

  • Degree:
    Bachelors, Bachelor of Science
  • School / High School:
    University of Idaho
    2009 to 2012
  • Specialities:
    Mathematics

Skills

Analytics • Git • Ruby • Ruby on Rails • Mysql • Scala • Functional Programming • Html • Python • Java • Mentoring • Postgresql • Google Bigquery

Interests

Analytics and Dashboarding • Hardware Software Interaction

Industries

Medical Devices

Resumes

Daniel Wiedeback Photo 1

Senior Engineer - Software Development

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Location:
Portland, OR
Industry:
Medical Devices
Work:
Dexcom
Senior Engineer - Software Development

Dexcom Jan 1, 2016 - Mar 2018
Software Engineer

Real Life Ministries on the Palouse 2010 - 2012
Technical Team Coordinator
Education:
University of Idaho 2009 - 2012
Bachelors, Bachelor of Science, Mathematics
Centennial High School 2000
Skills:
Analytics
Git
Ruby
Ruby on Rails
Mysql
Scala
Functional Programming
Html
Python
Java
Mentoring
Postgresql
Google Bigquery
Interests:
Analytics and Dashboarding
Hardware Software Interaction

Us Patents

  • System And Method For Decision Support

    view source
  • US Patent:
    20190246914, Aug 15, 2019
  • Filed:
    Feb 6, 2019
  • Appl. No.:
    16/269528
  • Inventors:
    - San Diego CA, US
    Scott M. Belliveau - San Diego CA, US
    Naresh C. Bhavaraju - San Diego CA, US
    Jennifer Blackwell - San Diego CA, US
    Eric Cohen - San Diego CA, US
    Basab Dattaray - San Diego CA, US
    Anna Leigh Davis - Cardiff by the Sea CA, US
    Rian Draeger - San Francisco CA, US
    Arturo Garcia - Chula Vista CA, US
    John Michael Gray - San Diego CA, US
    Hari Hampapuram - Portland OR, US
    Nathaniel David Heintzmann - San Diego CA, US
    Lauren Hruby Jepson - San Diego CA, US
    Matthew Lawrence Johnson - Solana Beach CA, US
    Apurv Ullas Kamath - San Diego CA, US
    Katherine Yerre Koehler - Solana Beach CA, US
    Phil Mayou - San Diego CA, US
    Patrick Wile McBride - San Diego CA, US
    Michael Robert Mensinger - San Diego CA, US
    Sumitaka Mikami - San Diego CA, US
    Andrew Attila Pal - San Diego CA, US
    Nicholas Polytaridis - San Diego CA, US
    Philip Thomas Pupa - San Diego CA, US
    Eli Reihman - San Diego CA, US
    Peter C. Simpson - Cardiff CA, US
    Tomas C. Walker - Henderson NV, US
    Daniel Justin Wiedeback - Portland OR, US
    Subrai Girish Pai - San Diego CA, US
    Matthew T. Vogel - Encinitas CA, US
  • International Classification:
    A61B 5/0205
    A61B 5/145
    A61B 5/00
    A61B 5/01
  • Abstract:
    Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.
  • System And Method For Decision Support

    view source
  • US Patent:
    20190246973, Aug 15, 2019
  • Filed:
    Feb 6, 2019
  • Appl. No.:
    16/269480
  • Inventors:
    - San Diego CA, US
    Scott M. Belliveau - San Diego CA, US
    Naresh C. Bhavaraju - San Diego CA, US
    Jennifer Blackwell - San Diego CA, US
    Eric Cohen - San Diego CA, US
    Basab Dattaray - San Diego CA, US
    Anna Leigh Davis - Cardiff by the Sea CA, US
    Rian Draeger - San Francisco CA, US
    Arturo Garcia - Chula Vista CA, US
    John Michael Gray - San Diego CA, US
    Hari Hampapuram - Portland OR, US
    Nathaniel David Heintzmann - San Diego CA, US
    Lauren Hruby Jepson - San Diego CA, US
    Matthew Lawrence Johnson - Solana Beach CA, US
    Apurv Ullas Kamath - San Diego CA, US
    Katherine Yerre Koehler - Solana Beach CA, US
    Phil Mayou - San Diego CA, US
    Patrick Wile McBride - San Diego CA, US
    Michael Robert Mensinger - San Diego CA, US
    Sumitaka Mikami - San Diego CA, US
    Andrew Attila Pal - San Diego CA, US
    Nicholas Polytaridis - San Diego CA, US
    Philip Thomas Pupa - San Diego CA, US
    Eli Reihman - San Diego CA, US
    Peter C. Simpson - Cardiff CA, US
    Tomas C. Walker - Henderson NV, US
    Daniel Justin Wiedeback - Portland OR, US
    Subrai Girish Pai - San Diego CA, US
    Matthew T. Vogel - Encinitas CA, US
  • International Classification:
    A61B 5/00
    A61B 5/145
    A61B 5/11
  • Abstract:
    Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.
  • System And Method For Decision Support

    view source
  • US Patent:
    20190251456, Aug 15, 2019
  • Filed:
    Feb 6, 2019
  • Appl. No.:
    16/269531
  • Inventors:
    - San Diego CA, US
    Scott M. Belliveau - San Diego CA, US
    Naresh C. Bhavaraju - San Diego CA, US
    Jennifer Blackwell - San Diego CA, US
    Eric Cohen - San Diego CA, US
    Basab Dattaray - San Diego CA, US
    Anna Leigh Davis - Cardiff by the Sea CA, US
    Rian Draeger - San Francisco CA, US
    Arturo Garcia - Chula Vista CA, US
    John Michael Gray - San Diego CA, US
    Hari Hampapuram - Portland OR, US
    Nathaniel David Heintzmann - San Diego CA, US
    Lauren Hruby Jepson - San Diego CA, US
    Matthew Lawrence Johnson - Solana Beach CA, US
    Apurv Ullas Kamath - San Diego CA, US
    Katherine Yerre Koehler - Solana Beach CA, US
    Phil Mayou - San Diego CA, US
    Patrick Wile McBride - San Diego CA, US
    Michael Robert Mensinger - San Diego CA, US
    Sumitaka Mikami - San Diego CA, US
    Andrew Attila Pal - San Diego CA, US
    Nicholas Polytaridis - San Diego CA, US
    Philip Thomas Pupa - San Diego CA, US
    Eli Reihman - San Diego CA, US
    Peter C. Simpson - Cardiff CA, US
    Tomas C. Walker - Henderson NV, US
    Daniel Justin Wiedeback - Portland OR, US
    Subrai Girish Pai - San Diego CA, US
    Matthew T. Vogel - Encinitas CA, US
  • International Classification:
    G06N 5/04
    G16H 50/20
  • Abstract:
    Systems and methods are provided to determine a time to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a model or pattern. The time to deliver guidance may be calculated to be useful to a user in the management of a glucose concentration level.
  • System And Method For Decision Support

    view source
  • US Patent:
    20190252079, Aug 15, 2019
  • Filed:
    Feb 6, 2019
  • Appl. No.:
    16/269533
  • Inventors:
    - San Diego CA, US
    Scott M. Belliveau - San Diego CA, US
    Naresh C. Bhavaraju - San Diego CA, US
    Jennifer Blackwell - San Diego CA, US
    Eric Cohen - San Diego CA, US
    Basab Dattaray - San Diego CA, US
    Anna Leigh Davis - Cardiff by the Sea CA, US
    Rian Draeger - San Francisco CA, US
    Arturo Garcia - Chula Vista CA, US
    John Michael Gray - San Diego CA, US
    Hari Hampapuram - Portland OR, US
    Nathaniel David Heintzmann - San Diego CA, US
    Lauren Hruby Jepson - San Diego CA, US
    Matthew Lawrence Johnson - Solana Beach CA, US
    Apurv Ullas Kamath - San Diego CA, US
    Katherine Yerre Koehler - Solana Beach CA, US
    Phil Mayou - San Diego CA, US
    Patrick Wile McBride - San Diego CA, US
    Michael Robert Mensinger - San Diego CA, US
    Sumitaka Mikami - San Diego CA, US
    Andrew Attila Pal - San Diego CA, US
    Nicholas Polytaridis - San Diego CA, US
    Philip Thomas Pupa - San Diego CA, US
    Eli Reihman - San Diego CA, US
    Peter C. Simpson - Cardiff CA, US
    Tomas C. Walker - Henderson NV, US
    Daniel Justin Wiedeback - Portland OR, US
  • International Classification:
    G16H 70/20
    A61B 5/145
    A61B 5/00
    G06N 20/00
  • Abstract:
    Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration data sensed by a glucose concentration sensor. A host state change associated with the host glucose concentration data may be determined. A guidance message based at least in part on the host state change may also be determined. The guidance message may be delivered through a user interface.
  • System And Method For Data Analytics And Visualization

    view source
  • US Patent:
    20160098539, Apr 7, 2016
  • Filed:
    Oct 2, 2015
  • Appl. No.:
    14/874188
  • Inventors:
    - San Diego CA, US
    Daniel Justin Wiedeback - Portland OR, US
    Jeffrey Grant Stewart - Chicago IL, US
    Eli Reihman - San Diego CA, US
    David Price - Carlsbad CA, US
    Lauren C. Miller - Chicago IL, US
    Keri Leone - Encinitas CA, US
    Dan Kraemer - Chicago IL, US
    Katherine Eng Kirby - Chicago IL, US
    Greg Kida - Willow Springs IL, US
    Apurv Ullas Kamath - San Diego CA, US
    Adam R. Greene - Portland OR, US
    Rebecca Gimenez - Chicago IL, US
    Sarah Paige Elli - San Diego CA, US
    Rian Draeger - San Diego CA, US
    Shane Philip Delmore - Portland OR, US
    Leif N. Bowman - San Diego CA, US
  • International Classification:
    G06F 19/00
    A61B 5/00
    A61B 5/145
  • Abstract:
    Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.
  • System And Method For Data Analytics And Visualization

    view source
  • US Patent:
    20160098540, Apr 7, 2016
  • Filed:
    Oct 2, 2015
  • Appl. No.:
    14/874334
  • Inventors:
    - San Diego CA, US
    Daniel Justin Wiedeback - Portland OR, US
    Jeffrey Grant Stewart - Chicago IL, US
    Eli Reihman - San Diego CA, US
    David Price - Carlsbad CA, US
    Lauren C. Miller - Chicago IL, US
    Keri Leone - Encinitas CA, US
    Dan Kraemer - Chicago IL, US
    Katherine Eng Kirby - Chicago IL, US
    Greg Kida - Willow Springs IL, US
    Apurv Ullas Kamath - San Diego CA, US
    Adam R. Greene - Portland OR, US
    Rebecca Gimenez - Chicago IL, US
    Sarah Paige Elli - San Diego CA, US
    Rian Draeger - San Diego CA, US
    Shane Philip Delmore - Portland OR, US
    Leif N. Bowman - San Diego CA, US
  • International Classification:
    G06F 19/00
  • Abstract:
    Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.
  • System And Method For Data Analytics And Visualization

    view source
  • US Patent:
    20160098848, Apr 7, 2016
  • Filed:
    Oct 2, 2015
  • Appl. No.:
    14/874296
  • Inventors:
    - San Diego CA, US
    Daniel Justin Wiedeback - Portland OR, US
    Jeffrey Grant Stewart - Chicago IL, US
    Eli Reihman - San Diego CA, US
    David Price - Carlsbad CA, US
    Lauren C. Miller - Chicago IL, US
    Keri Leone - Encinitas CA, US
    Dan Kraemer - Chicago IL, US
    Katherine Eng Kirby - Chicago IL, US
    Greg Kida - Willow Springs IL, US
    Apurv Ullas Kamath - San Diego CA, US
    Adam R. Greene - Portland OR, US
    Rebecca Gimenez - Chicago IL, US
    Sarah Paige Elli - San Diego CA, US
    Rian Draeger - San Diego CA, US
    Shane Philip Delmore - Portland OR, US
    Leif N. Bowman - San Diego CA, US
  • International Classification:
    G06T 11/20
    G06F 19/00
  • Abstract:
    Systems and methods are described that provide a dynamic reporting functionality that can identify important information and dynamically present a report about the important information that highlights important findings to the user. The described systems and methods are generally described in the field of diabetes management, but are applicable to other medical reports as well. In one implementation, the dynamic reports are based on available data and devices. For example, useless sections of the report, such as those with no populated data, may be removed, minimized in importance, assigned a lower priority, or the like.

Googleplus

Daniel Wiedeback Photo 2

Daniel Wiedeback

Lived:
Portland, Oregon
Work:
SweetSpot Diabetes Care - Engineer
Education:
University of Idaho
Daniel Wiedeback Photo 3

Daniel Wiedeback

Facebook

Daniel Wiedeback Photo 4

Dan Wiedeback

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Friends:
Mark Thornton, Andrew Dibble, Bennett Smith, Jesse Glassman, Joshua Cramer

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