Teach For Australia Nov 2015 - Dec 2017
Associate
Warwick Senior High School Nov 2015 - Dec 2017
Media and English Teacher
Seven Network Aug 2015 - Nov 2015
Freelance Journalist
Caulfield Grammar School Jan 2015 - Sep 2015
Sports Coach
Network Ten Jan 2015 - Jul 2015
Freelance Journalist
Education:
Deakin University 2015 - 2017
Masters, Teaching, Education
Rmit University 2001 - 2003
Bachelors, Bachelor of Arts, Literature, Journalism
The Peninsula School 1985 - 1998
Skills:
Television Journalism Broadcast Journalism Sports Writing Radio News Writing Sports Radio Interviews Sports Reporting Radio Broadcasting Broadcast Sports Broadcast Television Television News Radio Host Video Editing Text Editing Live Broadcast Outside Broadcast
Arizona Fire & Medical Authority
Fire Corps Volunteer - Cr231
Lake Elsinore Citizen Corps Feb 2011 - Jul 2018
Volunteer
Cottonwood Canyon Hills Hoa 2005 - Jul 2018
Volunteer
Riverside County Emergency Management Department Jul 2011 - Jun 2018
Volunteer
American Red Cross Mar 2011 - Aug 2014
Volunteer
Education:
University of Santa Clara 1978 - 1980
Master of Business Administration, Masters, Finance
Harvey Mudd College 1960 - 1964
Bachelors, Bachelor of Science, Engineering
Glenn F. Osborne - Davis CA, US Simon S. M. Chin - Saratoga CA, US Paul McDonald - Saratoga CA, US Scott Schneider - Saratoga CA, US
Assignee:
Iris Biotechnologies, Inc. - Santa Clara CA
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
The present invention provides a complete artificial intelligence system for the acquisition and analysis of nucleic acid array hybridization information. The system includes a central data processing facility and one or more user facilities, linked by encrypted connections. Each user facility may include an optical scanning system to collect hybridization signals from a nucleic acid array, an image processing system to convert the optical data into a set of hybridization parameters, a connection to a data network, and a user interface to display, manipulate, search, and analyze hybridization information. This system reads data from a nucleic acid microarray, analyzes test results, evaluates patient risk for various ailments, and recommends methods of treatment. The automated artificial intelligence system is a real time, dynamic decision making tool that can be used in conjunction with a clinical analysis system, and with the information obtained in a research and development environment.
Methods And Systems For Testing Network Components
GLENN F. OSBORNE - Davis CA, US Simon S. M. Chin - Saratoga CA, US Paul McDonald - Saratoga CA, US Scott Schneider - Saratoga CA, US
International Classification:
G06K 9/62
US Classification:
382128, 382110
Abstract:
The present invention provides a complete artificial intelligence system for the acquisition and analysis of nucleic acid array hybridization information. The system includes a central data processing facility and one or more user facilities, linked by encrypted connections. Each user facility may include an optical scanning system to collect hybridization signals from a nucleic acid array, an image processing system to convert the optical data into a set of hybridization parameters, a connection to a data network, and a user interface to display, manipulate, search, and analyze hybridization information. This system reads data from a nucleic acid microarray, analyzes test results, evaluates patient risk for various ailments, and recommends methods of treatment. The automated artificial intelligence system is a real time, dynamic decision making tool that can be used in conjunction with a clinical analysis system, and with the information obtained in a research and development environment.
Artificial Intelligence System For Genetic Analysis
Glenn F. Osborne - Davis CA, US Simon S. M. Chin - Saratoga CA, US Paul McDonald - Saratoga CA, US Scott Schneider - Saratoga CA, US
Assignee:
Iris Biotechnologies, Inc. - Santa Clara CA
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
The present invention provides a complete artificial intelligence system for the acquisition and analysis of nucleic acid array hybridization information. The system is divided into at least one central data processing facility and one or more user facilities, linked by encrypted network connections or similar links. Each user facility may include an optical scanning system to collect hybridization signals from a nucleic acid array, an image processing system to convert the optical data into a set of hybridization parameters, a connection to a data network, and a user interface to display, manipulate, search, and analyze hybridization information. This system reads data from a gene chip or DNA microarray, or a proteomics chip, analyzes test results based on maintained parameters, evaluates patient risk for various ailments, recommends methods of treatment, presents information to medical and/or private individuals, and notifies test participants when new treatment becomes available. The test results may be used to perform individual diagnostics, longitudinal studies, population studies, or a wide variety of statistical analyses of patient data. The automated artificial intelligence system is a real time, dynamic decision making tool that can be used not only in conjunction with a clinical analysis system, but also with the information obtained in a research and development environment.