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Laurie M Byrum

from Pleasanton, CA
Age ~53
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Also known as:
Laurie Marie Byrum, Laurie N Byrum, Laurie M Hopwood, Laurie Marie Hopwood, Laurie Hopwood Byrm, Laurje Byrum, Laurie M
Phone and address:
6 Castledown Rd, Pleasanton, CA 94566
(925) 963-5414
Related to:
Susan ChaffmanShaun E Springfield, 69N M ChaffmanBernie J Hudspeth
Connected to:
Amanda L Byrum, 41Christy B Byrum, 35Dale Byrum, 67Dean Byrum, 52Dianne Y Byrum, 70Elyse Byrum, 33Sandi L Byrum, 67Timothy D Byrum, 51Vaughan M Byrum, 47Wilbur M Byrum, 61

Laurie Byrum Phones & Addresses

  • 6 Castledown Rd, Pleasanton, CA 94566 (925) 963-5414
  • Livermore, CA
  • Columbia, MD
  • Severna Park, MD
  • Hayward, CA
  • Alameda, CA
  • 6 Castledown Rd, Pleasanton, CA 94566

Work

Company: Adobe 1997 Position: Principal scientist

Education

Degree: Master of Science, Masters School / High School: Stanford University 1997 to 2000 Specialities: Computer Science

Skills

Software Engineering • Software Development • C++ • Agile Methodologies • Java • Distributed Systems • Software Design • Saas • Perl • Object Oriented Design • Scrum • Algorithms • Linux • Scalability • Python • Cross Functional Team Leadership • Cloud Computing • Machine Learning • Flex • Hadoop • Architecture • Xml • C • Oop • Eclipse • Rest • Programming • Mysql • Web Applications • Design Patterns • Git • Sql • System Architecture • Multithreading • Agile Project Management • Mobile Applications • Computer Science • Ruby on Rails • Ruby • Amazon Web Services • Architectures • Ant • Open Source

Ranks

Certificate: Machine Learning

Industries

Computer Software

Resumes

Resumes

Laurie Byrum Photo 1

Principal Scientist

Location:
San Francisco, CA
Industry:
Computer Software
Work:
Adobe
Principal Scientist
General Magic 1995 - 1997
Customer Engineer
Imatron 1995 - 1995
Software Engineer
Arinc 1991 - 1994
Software Engineer
Education:
Stanford University 1997 - 2000
Master of Science, Masters, Computer Science University of Maryland Baltimore County 1989 - 1993
Bachelors, Bachelor of Science, Mathematics, Computer Science
Skills:
Software Engineering
Software Development
C++
Agile Methodologies
Java
Distributed Systems
Software Design
Saas
Perl
Object Oriented Design
Scrum
Algorithms
Linux
Scalability
Python
Cross Functional Team Leadership
Cloud Computing
Machine Learning
Flex
Hadoop
Architecture
Xml
C
Oop
Eclipse
Rest
Programming
Mysql
Web Applications
Design Patterns
Git
Sql
System Architecture
Multithreading
Agile Project Management
Mobile Applications
Computer Science
Ruby on Rails
Ruby
Amazon Web Services
Architectures
Ant
Open Source
Certifications:
Machine Learning
Social Network Analysis
Machine Learning Foundations: A Case Study Approach
Machine Learning: Regression
Machine Learning: Classification
Neural Networks and Deep Learning
Structuring Machine Learning Projects
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Convolutional Neural Networks
Sequence Models
Machine Learning: Clustering & Retrieval
Machine Learning Specialization
Foundations of Objective-C App Development
Networking and Security In Ios Applications
Best Practices For Ios User Interface Design
Machine Learning (Link)
Social Network Analysis (Link)
Coursera

Publications

Us Patents

Emphasizing Key Points In A Speech File And Structuring An Associated Transcription

US Patent:
20200004803, Jan 2, 2020
Filed:
Jun 29, 2018
Appl. No.:
16/024212
Inventors:
- San Jose CA, US
Walter Wei-Tuh Chang - San Jose CA, US
Seokhwan Kim - San Jose CA, US
Sean Fitzgerald - Campbell CA, US
Laurie Marie Byrum - Pleasanton CA, US
Frederic Thevenet - San Francisco CA, US
Carl Iwan Dockhorn - San Jose CA, US
Assignee:
Adobe Inc. - San Jose CA
International Classification:
G06F 17/21
G10L 15/26
G06F 17/22
G06F 17/24
Abstract:
Techniques are disclosed for generating a structured transcription from a speech file. In an example embodiment, a structured transcription system receives a speech file comprising speech from one or more people and generates a navigable structured transcription object. The navigable structured transcription object may comprise one or more data structures representing multimedia content with which a user may navigate and interact via a user interface. Text and/or speech relating to the speech file can be selectively presented to the user (e.g., the text can be presented via a display, and the speech can be aurally presented via a speaker).

Highlighting Key Portions Of Text Within A Document

US Patent:
20190155910, May 23, 2019
Filed:
Nov 20, 2018
Appl. No.:
16/196859
Inventors:
- San Jose CA, US
Sean Michael Fitzgerald - Campbell CA, US
Laurie Marie Byrum - Pleasanton CA, US
Jason Guthrie Waters - Cupertino CA, US
Frederic Claude Thevenet - San Francisco CA, US
Walter Wei-Tuh Chang - San Jose CA, US
International Classification:
G06F 17/28
G06F 17/22
G06F 16/34
G06F 17/27
G06F 17/21
Abstract:
Highlighting key portions of text within a document is described. A document having text is obtained, and key portions of the document are determined using summarization techniques. Key portion data indicative of the key portions is generated and maintained for output to generate a highlighted document in which highlight overlays are displayed over or proximate the determined key portions of the text within the document. In one or more implementations, reader interactions with the highlighted document are monitored to generate reader feedback data. The reader feedback data may then be combined with the output of the summarization techniques in order to adjust the determined key portions. In some cases, the reader feedback data may also be used to improve the summarization techniques.

Levels Of Competency In An Online Community

US Patent:
20190036867, Jan 31, 2019
Filed:
Oct 4, 2018
Appl. No.:
16/152107
Inventors:
- San Jose CA, US
Laurie M. Byrum - Pleasanton CA, US
Harsh Jhamtani - Kanpur, IN
Calvin K.C. Wong - Sunnyvale CA, US
Assignee:
Adobe Systems Incorporated - San Jose CA
International Classification:
H04L 12/58
H04L 29/08
Abstract:
Techniques and systems are described to determine levels of competency of users as part of an online community and control generation of subsequent digital content to be used interaction of the online community with the users based on this determination. In one example, determination of the level of competency is based on relevance to topics of the online community. In another example, a determination is made as to whether the topic of the online community is stable before using user competency scores to control generation of subsequent digital content. In a further example, users of the online community are identified as exhibiting dormant or non-dormant behavior and used as a basis to control generation of subsequent digital content. In yet another example, user competency scores are adjusted based on a decay factor to address dormancy of users over a period of time.

Context-Aware Badge Display In Online Communities

US Patent:
20180217716, Aug 2, 2018
Filed:
Feb 2, 2017
Appl. No.:
15/423465
Inventors:
- San Jose CA, US
Laurie BYRUM - Pleasanton CA, US
Scott DATE - San Francisco CA, US
International Classification:
G06F 3/0481
H04L 29/06
H04L 12/58
Abstract:
Systems and techniques that provide context-aware badge display in online communities are disclosed. Badges are identified for display based on the contexts of the online interfaces in which the badges will be displayed. When the badges awarded to a user are to be displayed in a particular online interface, the online community of that online interface is identified and used to display appropriate badges. Badges awarded to the user in the particular online community of the online interface and one or more related online communities are displayed. The related communities are identified based on a hierarchy of communities that identifies relationships between the online communities. Badges can be displayed using different display rules that can be changed over time and vary for different online communities.

Levels Of Competency In An Online Community

US Patent:
20170272396, Sep 21, 2017
Filed:
Mar 18, 2016
Appl. No.:
15/074956
Inventors:
- San Jose CA, US
Laurie M. Byrum - Pleasanton CA, US
Harsh Jhamtani - Kanpur, IN
Calvin K.C. Wong - Sunnyvale CA, US
Assignee:
Adobe Systems Incorporated - San Jose CA
International Classification:
H04L 12/58
H04L 29/08
Abstract:
Techniques and systems are described to determine levels of competency of users as part of an online community and control generation of subsequent digital content to be used interaction of the online community with the users based on this determination. In one example, determination of the level of competency is based on relevance to topics of the online community. In another example, a determination is made as to whether the topic of the online community is stable before using user competency scores to control generation of subsequent digital content. In a further example, users of the online community are identified as exhibiting dormant or non-dormant behavior and used as a basis to control generation of subsequent digital content. In yet another example, user competency scores are adjusted based on a decay factor to address dormancy of users over a period of time.
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Laurie M Byrum from Pleasanton, CA, age ~53 Get Report