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Joel M Malard

age ~64

from Fremont, CA

Also known as:
  • Joel J Malard
  • Malard Malard
  • Joel Mallard
Phone and address:
4628 Balboa Way, Fremont, CA 94536

Joel Malard Phones & Addresses

  • 4628 Balboa Way, Fremont, CA 94536
  • 392 L St, Fremont, CA 94536 • 509-946-4486 • 510-791-3188
  • 1312 Rochefontaine St, Richland, WA 99352 • 509-946-4486
  • Union City, CA
  • Alameda, CA

Us Patents

  • Data Processing, Analysis, And Visualization System For Use With Disparate Data Types

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  • US Patent:
    20060093222, May 4, 2006
  • Filed:
    Nov 21, 2005
  • Appl. No.:
    11/282567
  • Inventors:
    Jeffrey Saffer - Richland WA, US
    Gregory Thomas - Kennewick WA, US
    Lisa Stillwell - Richland WA, US
    Guang Chen - Richland WA, US
    Vernon Crow - Kennewick WA, US
    Cory Albright - Richland WA, US
    Sean Zabriskie - Richland WA, US
    Kevin Groch - Richland WA, US
    Joel Malard - Richland WA, US
    Lucille Nowell - Richland WA, US
    Augustin Calapristi - Richland WA, US
    Nancy Miller - San Diego CA, US
    Randall Scarberry - Richland WA, US
    Sara Thurston - Richland WA, US
    Susan Havre - Richland WA, US
    Scott Decker - Richland WA, US
    Deborah Payne - Richland WA, US
    Heidi Sofia - Walla Walla WA, US
  • International Classification:
    G06K 9/62
  • US Classification:
    382224000, 715968000
  • Abstract:
    A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data. Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.
  • Data Processing, Analysis, And Visualization System For Use With Disparate Data Types

    view source
  • US Patent:
    20060106783, May 18, 2006
  • Filed:
    Nov 21, 2005
  • Appl. No.:
    11/282569
  • Inventors:
    Jeffrey Saffer - Richland WA, US
    Augustin Calapristi - Richland WA, US
    Nancy Miller - San Diego CA, US
    Randell Scarberry - Richland WA, US
    Sarah Thurston - Richland WA, US
    Susan Havre - Richland WA, US
    Scott Decker - Richland WA, US
    Deborah Payne - Richland WA, US
    Heidi Sofia - Walla Walla WA, US
    Gregory Thomas - Kennewick WA, US
    Lisa Stillwell - Richland WA, US
    Guang Chen - Richland WA, US
    Vernon Crow - Kennewick WA, US
    Cory Albright - Richland WA, US
    Sean Zabriskie - Richland WA, US
    Kevin Groch - Richland WA, US
    Joel Malard - Richland WA, US
    Lucille Nowell - Richland WA, US
  • International Classification:
    G06F 17/30
  • US Classification:
    707003000
  • Abstract:
    A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data. Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.
  • Data Processing, Analysis, And Visualization System For Use With Disparate Data Types

    view source
  • US Patent:
    6990238, Jan 24, 2006
  • Filed:
    Sep 30, 1999
  • Appl. No.:
    09/410367
  • Inventors:
    Jeffrey D. Saffer - Richland WA, US
    Augustin J. Calapristi - Richland WA, US
    Nancy E. Miller - San Diego CA, US
    Randall E. Scarberry - Richland WA, US
    Sarah J. Thurston - Richland WA, US
    Susan L. Havre - Richland WA, US
    Scott D. Decker - Richland WA, US
    Deborah A. Payne - Richland WA, US
    Heidi J. Sofia - Walla Walla WA, US
    Gregory S. Thomas - Kennewick WA, US
    Lisa C. Stillwell - Richland WA, US
    Guang Chen - Richland WA, US
    Vernon L. Crow - Kennewick WA, US
    Cory L. Albright - Richland WA, US
    Sean J. Zabriskie - Richland WA, US
    Kevin M. Groch - Richland WA, US
    Joel M. Malard - Richland WA, US
    Lucille T. Nowell - Richland WA, US
  • Assignee:
    Battelle Memorial Institute - Richland WA
  • International Classification:
    G06K 9/62
  • US Classification:
    382224, 707 1
  • Abstract:
    A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data. Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.

Resumes

Joel Malard Photo 1

Licensed Insurance Agent

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Location:
392 L St, Fremont, CA 94536
Industry:
Computer Software
Work:
Farmers Insurance
Licensed Insurance Agent

Juido
Principal

Joel Malard Sep 2013 - Jul 2014
Retired

Silvaco Inc Apr 2006 - Mar 2012
Computer Scientist and Mathematician

Pacific Northwest National Laboratory 1997 - 2006
Senior Research Scientist
Education:
Mcgill University
Master of Science, Masters, Mathematics
Mcgill University
Doctorates, Doctor of Philosophy, Computer Science, Philosophy
Skills:
Algorithms
Simulations
High Performance Computing
Parallel Computing
Mathematical Modeling
Research
Computer Science
Numerical Analysis
Mpi
Parallel Programming
Science
Latex
Openmp
C++
Fortran
Software Engineering
Programming
Python
Physics
Data Analysis
Applied Mathematics
Scientific Computing
C
Matlab
Software Development
Distributed Systems
Data Mining
Statistics
Optimization
Linux
Perl
Machine Learning
Parallel Algorithms
Artificial Intelligence
Monte Carlo Simulation
R&D
Pattern Recognition
Ipython
Research and Development
Interests:
Știință Și Tehnologie
Languages:
French
Joel Malard Photo 2

Scientist At Simucad

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Position:
Scientist at Simucad
Location:
San Francisco Bay Area
Industry:
Electrical/Electronic Manufacturing
Work:
Simucad
Scientist

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Googleplus

Joel Malard Photo 3

Joel Malard


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