Williams Syndrome Association - Troy, MI Jan 2012 - Dec 2012
President
Innovative Building Systems - Mechanicsburg, PA May 2012 - Oct 2012
Treasury Manager
APS Healthcare, Inc. - Columbia, MD Oct 2007 - May 2012
Treasury and Risk Manager
Bon Secours Health System, Inc - Marriottsville, MD Oct 2006 - Jul 2007
Treasury Consultant
Old Mutual Financial Networks (F&G Life) - Baltimore, Maryland Apr 2005 - Oct 2006
Assistant Treasurer
Education:
Towson University 1985 - 1988
B.S, Economics and Business Administration
Seton High School in Baltimore 1981 - 1985
Volunteer:
Board of Directors Williams Syndrome Assn 2007-current, Treasurer 2008-current. Pastoral Counsel for Our Lady of Grace parish 2009-current, Chair 2011-12
Honor & Awards:
April of 2005. In addition to her business as usual workload, her early days here required significant effort and extra hours to address treasury “make-safe” issues, updates to all signing authority records, a comprehensive review of all banking relationships, and other process changes. All of these activities were deemed a high priority in the post-fraud environment. Debbie did a very good job of managing multiple priorities under stressful conditions. Debbie also made significant progress during a transitional period with little oversight (which) added challenges to an already difficult period but Debbie consistently demonstrated leadership and ownership qualities.
Overall, Debbie’s efforts have been successful while faced with several critical challenges such as implementing extensive banking controls, correcting control deficiencies.... She has faced these challenges with a positive, can-do attitude and has provided strong team leadership.
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.
Isolating Desired Content, Metadata, Or Both From Social Media
Eric B. Bell - Richland WA, US Shawn J. Bohn - Richland WA, US Andrew J. Cowell - Kennewick WA, US Michelle L. Gregory - Richland WA, US Eric J. Marshall - Corvallis OR, US Deborah A. Payne - Richland WA, US
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
G06F 7/00
US Classification:
707807, 706 12
Abstract:
Desired content, metadata, or both can be isolated from the full content of social media websites having content-rich pages. Achieving this can include obtaining from the content-rich pages a language-independent representation having a hierarchical structure of nodes and then generating a node representation for each node. Feature vectors for the nodes are generated and a label is assigned to each node representation according to a schema. Assignment can occur by executing a trained classification algorithm on the feature vectors. The schema has schema elements and each schema element corresponds to a label. For each schema element, all node representations having matching labels are gathered and then one node representation is elected from among those with matching labels to be assigned to a schema element field in a template. The template can be applied to extract desired content, metadata, or both according to the schema from all the content-rich pages.
Data Processing, Analysis, And Visualization System For Use With Disparate Data Types
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
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 Visualization Methods, Data Visualization Devices, Data Visualization Apparatuses, And Articles Of Manufacture
Alan Turner - Kennewick WA, US Vernon Crow - Richland WA, US Deborah Payne - Richland WA, US Elizabeth Hetzler - Kennewick WA, US Kristin Cook - Richland WA, US
International Classification:
G06F 15/00
US Classification:
715526000, 707003000
Abstract:
Data visualization methods, data visualization devices, data visualization apparatuses, and articles of manufacture are described according to some aspects. In one aspect, a data visualization method includes accessing a plurality of initial documents at a first moment in time, first processing the initial documents providing processed initial documents, first identifying a plurality of first associations of the initial documents using the processed initial documents, generating a first visualization depicting the first associations, accessing a plurality of additional documents at a second moment in time after the first moment in time, second processing the additional documents providing processed additional documents, second identifying a plurality of second associations of the additional documents and at least some of the initial documents, wherein the second identifying comprises identifying using the processed initial documents and the processed additional documents, and generating a second visualization depicting the second associations.
Jeffrey D. Saffer - Richland WA Guang Chen - Richland WA Vernon L. Crow - Richland WA Jonathon D. McCall - Richland WA Nancy E. Miller - San Diego CA Philip J. Monroe - Johnstown OH Lucille T. Nowell - Richland WA Deborah A. Payne - Richland WA Randall E. Scarberry - Richland WA Lisa C. Stillwell - Richland WA Sarah J. Thurston - Richland WA Leigh K. Williams - Richland WA Sean J. Zabriskie - Richland WA
Assignee:
Battelle Memorial Institute - Columbus OH
International Classification:
G06F 1730
US Classification:
707102
Abstract:
A data import system enables access to data of multiple types from multiple data sources of different formats and provides an interface for importing data into a data analysis system. The interface enables a user to customize the formatting of the data as the data is being imported into a data analysis system. A user may select first user defined options for operating on a first data set received during a data importation process. An intermediate representation of the data set is generated based on the user first defined options. A user may specify second user defined options based on the intermediate representation during the data importation process. The second user defined options are processed to produce a final data representation of the data set to be used for analysis of the data. The intermediate representation may be a data table. The processing of a data set may include merging a first and second data set to produce the final data representation.
Data Visualization Methods, Data Visualization Devices, Data Visualization Apparatuses, And Articles Of Manufacture
- Richland WA, US Vernon L. Crow - Richland WA, US Deborah A. Payne - Richland WA, US Elizabeth G. Hetzler - Kennewick WA, US Kristin A. Cook - Richland WA, US Wendy E. Cowley - Richland WA, US
Assignee:
BATTELLE MEMORIAL INSTITUTE - Richland WA
International Classification:
G06F 17/21 G06F 17/30
Abstract:
Data visualization methods, data visualization devices, data visualization apparatuses, and articles of manufacture are described according to some aspects. In one aspect, a data visualization method includes accessing a plurality of initial documents at a first moment in time, first processing the initial documents providing processed initial documents, first identifying a plurality of first associations of the initial documents using the processed initial documents, generating a first visualization depicting the first associations, accessing a plurality of additional documents at a second moment in time after the first moment in time, second processing the additional documents providing processed additional documents, second identifying a plurality of second associations of the additional documents and at least some of the initial documents, wherein the second identifying comprises identifying using the processed initial documents and the processed additional documents, and generating a second visualization depicting the second associations.
Carolina Partners In Mental Healthcare 1415 W Nc Hwy 54 STE 207, Durham, NC 27707 9194012933 (phone), 9194012994 (fax)
Carolina Partners In Mental Healthcare 1502 W North Carolina Hwy 54, Durham, NC 27707 9193540850 (phone), 9192948590 (fax)
Education:
Medical School Wright State University Boonshoft School of Medicine Graduated: 1998
Languages:
English
Description:
Dr. Payne graduated from the Wright State University Boonshoft School of Medicine in 1998. She works in Durham, NC and 1 other location and specializes in Psychiatry.
Our Lady of Lourdes School Richmond VA 1964-1968, Maude Trevette Elementary School Richmond VA 1968-1969, Brookland Middle School Richmond VA 1970-1972