Search

Seagen J Levites

age ~48

from Oregon City, OR

Get Report
Also known as:
  • Seagen James Levites
  • Seagen M Levites
  • James Levites Seagen
  • Ceage J Levites
  • Seagen J Levitas
  • N Levites
Phone and address:
16514 S Brockway Rd, Redland, OR 97045
5037303472
Related to:
Connected to:

Seagen Levites Phones & Addresses

  • 16514 S Brockway Rd, Oregon City, OR 97045 • 5037303472
  • 2825 Whitman Ct, Portland, OR 97229 • 5035331649
  • Beaverton, OR
  • 969 Hiwan Ct, Eugene, OR 97405 • 5413432587 • 5414855113

Work

  • Company:
    Cylance, inc.
    Nov 2012
  • Position:
    Director of research operations

Education

  • School / High School:
    University of Hawaii at Manoa
    1996 to 1997
  • Specialities:
    Physics

Skills

Computer Security • Security • Malware Analysis • Network Security • Software Development • Mcafee • Antivirus • Agile Methodologies • Data Security • Test Automation • Encryption • Software Quality Assurance • Software Engineering • Integration • Windows • Enterprise Software • Testing • Internet Security • C# • Application Security • Automation • Quality Assurance • Security Testing • Web Applications • Scrum • Ips • Sql • Operating Systems • Team Leadership • Distributed Systems • Security Research • Vulnerability Management • Performance Testing • Thought Leadership • Dlp • Intrusion Detection • Mysql • Microsoft Sql Server • Software Design • Amazon Rds • Amazon Web Services • Agile • Amazon Ec2 • Amazon S3

Languages

English • Spanish

Industries

Computer & Network Security

Us Patents

  • System, Method, And Computer Program Product For Identifying Hidden Or Modified Data Objects

    view source
  • US Patent:
    20130247182, Sep 19, 2013
  • Filed:
    Apr 21, 2009
  • Appl. No.:
    12/427463
  • Inventors:
    Seagen James Levites - Beaverton OR, US
    Rachit Mathur - Hillsboro OR, US
    Aditya Kapoor - Beaverton OR, US
  • International Classification:
    G06F 21/00
    G06F 17/30
    G06F 15/177
    G06F 12/14
    H04L 29/06
  • US Classification:
    726 22, 713 2, 707E17055, 707697
  • Abstract:
    A system, method, and computer program product are provided for detecting hidden or modified data objects. In use, a first set of data objects stored in a device is enumerated, where the enumeration of the first set of data objects is performed within an operating system of the device. Additionally, a second set of data objects stored in the device is enumerated, where the enumeration of the second set of data objects is performed outside of the operating system of the device. Further, the first set of data objects and the second set of data objects are compared for identifying hidden or modified data objects.

  • Automated Systems And Methods For Generative Multimodel Multiclass Classification And Similarity Analysis Using Machine Learning

    view source
  • US Patent:
    20180060760, Mar 1, 2018
  • Filed:
    Oct 20, 2017
  • Appl. No.:
    15/789765
  • Inventors:
    - Irvine CA, US
    Stuart McClure - Irvine CA, US
    Matthew Wolff - Laguna Niguel CA, US
    Gary Golomb - Santa Cruz CA, US
    Derek A. Soeder - Irvine CA, US
    Seagen Levites - Portland OR, US
    Michael O'Dea - Estero FL, US
    Gabriel Acevedo - Irvine CA, US
    Glenn Chisholm - Irvine CA, US
  • International Classification:
    G06N 99/00
    G06N 5/02
    G06F 9/50
  • Abstract:
    Under one aspect, a computer-implemented method includes receiving a query at a query interface about whether a computer file comprises malicious code. It is determined, using at least one machine learning sub model corresponding to a type of the computer file, whether the computer file comprises malicious code. Data characterizing the determination are provided to the query interface. Generating the sub model includes receiving computer files at a collection interface. Multiple sub populations of the computer files are generated based on respective types of the computer files, and random training and testing sets are generated from each of the sub populations. At least one sub model for each random training set is generated.

  • Automated System For Generative Multimodel Multiclass Classification And Similarity Analysis Using Machine Learning

    view source
  • US Patent:
    20140379619, Dec 25, 2014
  • Filed:
    Jun 24, 2014
  • Appl. No.:
    14/313863
  • Inventors:
    - Irvine CA, US
    Stuart McClure - Irvine CA, US
    Matthew Wolff - Newport Beach CA, US
    Gary Golomb - Santa Cruz CA, US
    Derek A. Soeder - Irvine CA, US
    Seagen Levites - Portland OR, US
    Michael O' Dea - Estero FL, US
    Gabriel Acevedo - Irvine CA, US
    Glenn Chisholm - Irvine CA, US
  • International Classification:
    G06N 99/00
    G06N 5/02
  • US Classification:
    706 12
  • Abstract:
    A sample of data is placed within a directed graph that comprises a plurality of hierarchical nodes that form a queue of work items for a particular worker class that are used to process the sample of data. Subsequently, work items are scheduled within the queue for each of a plurality of workers by traversing the nodes of the directed graph. The work items are then served to the workers according to the queue. Results can later be received from the workers for the work items (the nodes of the directed graph are traversed based on the received results). In addition, in some variations, the results can be classified so that one or models can be generated. Related systems, methods, and computer program products are also described.

Resumes

Seagen Levites Photo 1

Director Of Data Architectu

view source
Location:
16514 south Brockway Rd, Oregon City, OR 97045
Industry:
Computer & Network Security
Work:
Cylance, Inc. since Nov 2012
Director of Research Operations
McAfee Labs Oct 2010 - Nov 2012
Research Engineering Manager
McAfee Sep 2009 - Nov 2010
Development Team Lead
McAfee Feb 2008 - Jul 2009
Sr. Quality Assurance Engineer (Security)
McAfee Security 2007 - 2008
Field Research Engineer
Education:
University of Hawaii at Manoa 1996 - 1997
University of Oregon 1994 - 1996
Bachelor's
Bachelor of Science, Information Technology
Skills:
Computer Security
Security
Malware Analysis
Network Security
Software Development
Mcafee
Antivirus
Agile Methodologies
Data Security
Test Automation
Encryption
Software Quality Assurance
Software Engineering
Integration
Windows
Enterprise Software
Testing
Internet Security
C#
Application Security
Automation
Quality Assurance
Security Testing
Web Applications
Scrum
Ips
Sql
Operating Systems
Team Leadership
Distributed Systems
Security Research
Vulnerability Management
Performance Testing
Thought Leadership
Dlp
Intrusion Detection
Mysql
Microsoft Sql Server
Software Design
Amazon Rds
Amazon Web Services
Agile
Amazon Ec2
Amazon S3
Languages:
English
Spanish

Youtube

Lyre of the Levites

Lyre of the Levites

A 'live' peformance of track 1, "Lyre of the Levites", from my 2019 al...

  • Duration:
    3m 23s

The Levites

The Levites

The Levites.

  • Duration:
    4m 25s
Get Report for Seagen J Levites from Oregon City, OR, age ~48
Control profile