Amazon
Ww High Traffic Events Lead - Product and Program - Amazon Advertising
Kpmg Sep 2014 - Feb 2017
Associate, Financial Operations and Planning - Healthcare
Ims Health May 2013 - Dec 2013
Intern, Institute For Healthcare Informatics
Maryland Department of Health and Mental Hygiene Jan 2013 - May 2013
Project Manager
Standard & Poor's Jun 2012 - Aug 2012
Risk Solutions Summer Intern
Education:
The Johns Hopkins University May 2014
Masters
The Johns Hopkins University 2012 - 2014
The Ohio State University 2009 - 2012
Bachelors, Bachelor of Science In Business Administration, Accounting
Johns Hopkins Bloomberg School of Public Health
Skills:
Healthcare Consulting Budgets Health Policy Accounting Stata Healthcare Management Microsoft Excel Leadership Public Speaking Sas Data Analysis Healthcare Strategy Microsoft Office
Sentreheart, Inc. Dec 2011 - Oct 2019
Board Member
Nanjing King Friend Pharmaceuticals Jan 2011 - Mar 2019
Board Observer
Kala Pharmaceuticals Apr 2016 - Jul 2017
Board Member
Surgical Specialties Apr 2016 - Jul 2017
Chairman
Nabriva Therapeutics Plc Apr 2015 - Sep 2016
Board Member
Education:
Stanford University Graduate School of Business 2002 - 2004
Master of Business Administration, Masters
Stanford University 2004
Master of Business Administration, Masters
Stanford University School of Medicine 1996 - 2003
Harvard University 1996
Bachelors, Bachelor of Arts, Biology
Mt. Lebanon High School 1988 - 1992
Stanford University
Doctor of Medicine, Doctorates
Stanford Graduate School of Business
Skills:
Start Ups Corporate Development Pharmaceutical Industry Lifesciences Venture Capital Product Management Due Diligence Commercialization Biotechnology Medical Devices
Scott Eric Lipsky - Seattle WA, US Chen Yu - Pittsburgh PA, US
Assignee:
aQuantive, Inc. - Seattle WA
International Classification:
G06F 17/60
US Classification:
705 14
Abstract:
A facility for adjusting the execution of an advertising campaign in which advertising messages are presented using a plurality of advertising alternatives as described. During a first time period, the facility presents advertising messages using each of the advertising alternatives in accordance with an initial allocation for each of the advertising alternatives. Also during the first time period, the facility tracks the performance of the advertising campaign with respect to each of the advertising alternatives. Based upon the tracking during the first time period, the facility attributes a performance score to each of the advertising alternatives for the first time period. The facility compares these scores, and, based upon the comparison, adjusts the allocations for the advertising alternatives so as to increase one or more allocations for advertising alternatives which compare favorably in the comparison, and so as to reduce one or more allocations for advertising alternatives comparing disfavorably in the comparison. The facility then, during a second time period, presents advertising messages using each of the advertising alternatives in accordance with the adjusted allocation for each of the advertising alternatives.
Sarah Calvert - Seattle WA, US Chen Yu - Seattle WA, US
Assignee:
Avenue A, Inc.
International Classification:
G06F017/60
US Classification:
705/014000
Abstract:
A method of evaluating Internet advertisement effectiveness that involves collecting Internet activity information associated with a multitude of cookies, and storing the information in a database. An advertisement strategy is generated for evaluation, and a plurality of user segments are established, each having a different Internet activity characteristic. An advertising strategy is assigned to each segment. When a user visits a site where an advertisement is to be served, a cookie is determined. The stored Internet activity information for the cookie is retrieved, and based on the retrieved information, the cookie is assigned to a user segment associated with the retrieved Internet activity information. Then, an advertisement is served based on the assigned advertising strategy.
Method Of Selecting An Internet Advertisement To Be Served To A User
Sarah Calvert - Seattle WA, US Chen Yu - Mountain View CA, US
International Classification:
G06F017/60
US Classification:
705/014000
Abstract:
A method of serving Internet advertisements to users having associated cookies includes receiving a cookie from a user visiting a publisher, then retrieving a database record of past Internet activity associated with the cookie. Based on the record, is it determined whether the cookie is associated with past interactions with any of the advertisers. If the cookie has had interactions with multiple advertisers, an advertisement associated with the advertiser with the greatest level of desired attributes is served. If there are no past interactions, past web activity of the cookie is analyzed to determine the advertiser with the best prospects for success.
Dynamically Optimizing The Presentation Of Advertising Messages
Scott Lipsky - Seattle WA, US Chen Yu - Pittsburgh PA, US
International Classification:
G06Q 30/00
US Classification:
705014000
Abstract:
A facility for adjusting the execution of an advertising campaign in which advertising messages are presented using a plurality of advertising alternatives as described. During a first time period, the facility presents advertising messages using each of the advertising alternatives in accordance with an initial allocation for each of the advertising alternatives. Also during the first time period, the facility tracks the performance of the advertising campaign with respect to each of the advertising alternatives. Based upon the tracking during the first time period, the facility attributes a performance score to each of the advertising alternatives for the first time period. The facility compares these scores, and, based upon the comparison, adjusts the allocations for the advertising alternatives so as to increase one or more allocations for advertising alternatives which compare favorably in the comparison, and so as to reduce one or more allocations for advertising alternatives comparing disfavorably in the comparison. The facility then, during a second time period, presents advertising messages using each of the advertising alternatives in accordance with the adjusted allocation for each of the advertising alternatives.
Youtube
Chen Yu Taiji Gongfu - Erlu
Chen Yu demonstrating Erlu (Paochui) in a documentary from 2001.
Category:
Sports
Uploaded:
06 Jun, 2010
Duration:
1m 47s
Chen Yu 2
More Chen Yu
Category:
Sports
Uploaded:
06 Sep, 2008
Duration:
5m 16s
Master Chen Yu - Tui Shou Applications / -
Welcome to Chen Taiji and Tuishou camp in Moscow, Russia in May 2009! ...
Category:
Sports
Uploaded:
23 Jan, 2009
Duration:
2m 13s
Chen Yu clip
Clip made by Borys Vasylyev student of grand master Chen Yu