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Maggie ChowLivingston, NJ

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Livingston, NJ   

Brighton, MA   

Brooklyn, NY   

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Resumes

Maggie Chow Photo 25

Manager, Channel Sales At Yahoo

Position:
Manager, Channel Sales at Yahoo
Location:
Greater New York City Area
Industry:
Internet
Work:
Yahoo - NYC since Jul 2011
Manager, Channel Sales Publicitas Mar 2008 - Jul 2011
Digital Account Director Trulia Jul 2007 - Mar 2008
Manager of Strategic Partnerships New York Times Mar 2005 - Jun 2007
Sr. Telesales Rep. Online Media
Education:
Smith College 1999 - 2003
B.A., French Studies Kearny High School 1995 - 1999
Skills:
Online Advertising, Business Development, Pricing, Advertising, Strategic Partnerships, Search Advertising, Display Advertising
Interests:
international business and travel, world news and politics, reading, classical music and piano, learning new languages and cultures, foreign films, and cooking
Languages:
French
Maggie Chow Photo 26

Maggie Chow

Maggie Chow Photo 27

Maggie Chow

Publications & IP owners

Us Patents

Capital Asset Planning System

US Patent:
2013013, May 30, 2013
Filed:
May 23, 2012
Appl. No.:
13/479198
Inventors:
Roger N. Anderson - New York NY, US
Maggie Chow - Hartsdale NY, US
Albert Boulanger - New York NY, US
International Classification:
G06Q 10/06
US Classification:
705 737
Abstract:
A capital asset planning system for selecting assets for improvement within an infrastructure that includes one or more data sources descriptive of the infrastructure, one or more databases, coupled to the one or more data sources, to compile the one or more data sources, one or more processors, each coupled to and having respective communication interfaces to receive data from the one or more databases. The processor includes a predictor to generate a first metric of estimated infrastructure effectiveness based, at least in part, on a current status of the infrastructure, a second metric of estimated infrastructure effectiveness based, at least in part, on a user-selected, proposed changed configuration of the infrastructure, and a net metric of infrastructure effectiveness based, at least in part, on said first metric and said second metric. The system also includes a display, coupled to have the one or more processors, for visually presenting the net metric of infrastructure effectiveness, in which the assets for improvement are selected based, at least in part, on the net metric of infrastructure effectiveness.

Machine Learning For Power Grid

US Patent:
2013023, Sep 5, 2013
Filed:
Jan 15, 2013
Appl. No.:
13/742124
Inventors:
Cynthia Rudin - New York NY, US
David Waltz - Princeton NJ, US
Maggie Chow - Hartsdale NY, US
Haimonti Dutta - Trenton NJ, US
Phil Gross - Brooklyn NY, US
Huang Bert - Silver Spring MD, US
Steve Ierome - New York NY, US
Delfina Isaac - New York NY, US
Arthur Kressner - Westfiled NJ, US
Rebecca J. Passonneau - New York NY, US
Axinia Radeva - New York NY, US
Leon L. Wu - New York NY, US
Peter Hofmann - Hasbrouck Heights NJ, US
Frank Dougherty - Yorktown Heights NY, US
Assignee:
Consolidated Edison Company of New York - New York NY
The Trustees of Columbia University in the City of New York - New York NY
International Classification:
G06N 99/00
US Classification:
706 12
Abstract:
A machine learning system for ranking a collection of filtered propensity to failure metrics of like components within an electrical grid that includes a raw data assembly to provide raw data representative of the like components within the electrical grid; (b) a data processor, operatively coupled to the raw data assembly, to convert the raw data to more uniform data via one or more data processing techniques; (c) a database, operatively coupled to the data processor, to store the more uniform data; (d) a machine learning engine, operatively coupled to the database, to provide a collection of propensity to failure metrics for the like components; (e) an evaluation engine, operatively coupled to the machine learning engine, to detect and remove non-complying metrics from the collection of propensity to failure metrics and to provide the collection of filtered propensity to failure metrics; and (f) a decision support application, operatively coupled to the evaluation engine, configured to display a ranking of the collection of filtered propensity to failure metrics of like components within the electrical grid.

Possible Relatives

Cynthia Chow  David C Chow  Dawn M Chow  Debbie F Chow  Dan T Chow  Dee Chow  Danny L Chow  Maggie L Johnson  Maggie L Jones  Maggie D Steelman 

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