Summit Bank Limited Jan 2004 - Oct 2012
Senior Vice President and Senior Relationship Manager
Bank of the West Oct 2011 - Jul 2012
Vice President
Société Générale Sep 2000 - Oct 2003
Financial Analyst
Needham & Company Mar 1995 - Sep 2000
Research Associate and Financial Analyst
Mar 1995 - Sep 2000
Senior Vice President and Senior Relationship
Education:
Citibank Banking School 2001 - 2001
University of California, Berkeley 1998 - 1998
Western Illinois University 1987 - 1989
Masters, Master of Arts, Sociology
Shanghai University
Bachelors, Bachelor of Arts, Business Administration, English, Business
Santa Cruz Nutritionals
Director of R and D
Harmony Foods Mar 2004 - Apr 2006
R and D Manager
Harmony Foods Feb 1998 - Feb 2004
Senior Food Technologist
Iowa State University Sep 1995 - Nov 1997
Reseach and Teaching Assistant
Education:
Iowa State University 1995 - 1997
Masters, Food Science
Beijing University of Chemical Technology 1988 - 1992
Bachelors, Biochemical Engineering
Skills:
Food Safety Product Development Food Haccp Manufacturing Food Industry Gmp Cross Functional Team Leadership Quality System Microsoft Office
Penn State University 2006 - 2008
Master of Business Administration, Masters, Finance
Rensselaer Polytechnic Institute 1997 - 1999
Masters, Electronics, Engineering, Communications
The Regents of the University of California - Oakland CA, US Hao Gong - El Cerrito CA, US Yong Bai - Albany CA, US Sangwei Lu - Kensington CA, US Fenyong Liu - Berkeley CA, US
Assignee:
The Regents of the University of California - Oakland CA
International Classification:
A61K 35/74
US Classification:
424 932
Abstract:
The present invention provides vectors, including a novel attenuated strain of , for efficient gene transfer into an animal, e.g. a mammalian host.
Recognizing Predictive Patterns In The Sequence Of Superalarm Triggers For Predicting Patient Deterioration
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA
International Classification:
G06F 19/00 G06F 17/30 A61B 5/00
Abstract:
Methods for predicting patient deterioration or clinical events by detecting patterns in heterogeneous temporal clinical data streams that are predictive of certain clinical end points and matching the patient state with those patterns are described. The detected patterns, referred to as SuperAlarm triggers, are a predictive combination of frequently co-occurring monitor alarms, conditions and laboratory test results that can predict patient deterioration for imminent life-threatening events. SuperAlarm triggers may also exhibit patterns in the sequence of SuperAlarms that are triggered over the monitoring time of a patient. Sequential patterns of SuperAlarm triggers may also indicate a temporal process of change in patient status. SuperAlarm based alerts will also greatly reduce the number of false alarms and alarm fatigue compared to conventional alarms.
Oral Delivery Of Nucleic Acid-Based Gene Interfering Agents By Salmonella