Lnx Research - Orange County, California Area since Jan 2011
Director
Lnx Research Jun 2007 - Aug 2011
Project Manager
PharmaVoxx 2007 - 2008
Contractor
Keck Graduate Institute 2005 - 2007
Graduate Student
University of Georgia 2002 - 2005
Research Coordinator
Education:
Claremont Graduate University 2005 - 2007
MBS, Master of Bioscience at KGI
Keck Graduate Institute of Applied Life Sciences 2005 - 2007
MBS, Biotechnology and Business
The University of Georgia 1997 - 2001
BS, Biology
McIntosh
Voxx Analytics
Chief Innovation Officer
Voxx Analytics
Director, Network Analytics
Lnx Research Jun 2007 - Aug 2011
Project Manager
Lnx Research Jun 2007 - Aug 2011
Director
Pharmavoxx 2007 - 2008
Contractor
Education:
Keck Graduate Institute 2005 - 2007
Claremont Graduate University 2005 - 2007
Masters
The University of Georgia 1997 - 2001
Bachelors, Bachelor of Science, Biology
Skills:
Biotechnology Lifesciences Biopharmaceuticals Pharmaceutical Industry Data Analysis Drug Development Cross Functional Team Leadership Clinical Development Molecular Biology Oncology Clinical Trials Market Analysis Strategy Clinical Research Market Research Pharmacology Gcp Biochemistry Product Launch Medical Devices Commercialization Drug Discovery Technology Transfer Infectious Diseases Fda Competitive Intelligence Cell Biology Immunology Genomics Healthcare Cell Culture Cancer Social Network Analytics Software Start Ups Regulatory Affairs Gmp Managed Care Vaccines Neuroscience Regulatory Submissions Bioinformatics Cro Validation Ctms Cell Pcr Diabetes Hardware Diagnostics Medical Writing Glp
Interests:
Electronics Home Improvement Sports Travel Home Decoration
Philip S. Topham - Orange CA, US Senthil Kumar Purushothaman - Orange CA, US Ryan Peeler - Orange CA, US Anthony M. Page - Orange CA, US Daniel Vesely - Orange CA, US
International Classification:
G06F 15/173
US Classification:
709223
Abstract:
A method, system and computer-program product for generating a subgraph of key entities in a network and organizing entities in the subgraph are disclosed. The technique uses social network analysis centrality metrics to identify key entities in a network. The technique also uses social network analysis centrality metrics to categorize key entities into different types.
Methods Of Analyzing Key Entities In A Social Network
Daniel Vesely - Garden Grove CA, US Anthony M. Page - Garden Grove CA, US Ryan Peeler - Santa Ana CA, US
International Classification:
G06Q 10/10 G06Q 30/02
Abstract:
Methods of identifying key entities in a network, building a subgraph, or invisible college, of these key entities, segmenting the subgraph of key entities into specific sub-groups based upon their roles in the network, identifying bridge builders between sub-groups, identifying work-circles of frequently collaborative entities, and identifying institutions, which are centers of significance, are disclosed. These techniques can be used as an alternative to the survey method for finding key opinion leaders.
Ryan Peeler (1991-1995), Holly Hilton (2002-2006), Simon Deleon (1996-2000), Nic Parrish (1997-2001), Laurene Cranford (1990-1994), Ryan Heinz (2004-2008)