Christopher S Bergh, Age 41105 Plymouth St APT 32, Fitchburg, MA 01420

Christopher Bergh Phones & Addresses

105 Plymouth St APT 32, Fitchburg, MA 01420

32 Oakridge St, Mattapan, MA 02126

Roslindale, MA

Quincy, MA

77 Academy St, Fitchburg, MA 01420 (617) 417-0622

Work

Position: Executive, Administrative, and Managerial Occupations

Mentions for Christopher S Bergh

Christopher Bergh resumes & CV records

Resumes

Christopher Bergh Photo 25

Documentation Coordinator At Massachusetts Biologic Laboratories

Location:
Greater Boston Area
Industry:
Pharmaceuticals
Christopher Bergh Photo 26

Ceo, Founder, Head Chef

Location:
Lexington, MA
Industry:
Computer Software
Work:
Nascent Analytics Startup since Mar 2013
Founder
Model N - Waltham, MA Jan 2012 - Feb 2013
Regional Vice President, Revenue Management Intelligence
LeapFrogRx - Waltham, MA Sep 2005 - Jan 2012
Chief Operating Officer
MarketSoft Jun 1999 - Jul 2005
CTO and VP Product Management
Microsoft Mar 1998 - Mar 1999
MS Passport
Firefly Network 1996 - 1998
software engineer
NetMarket 1996 - 1996
Engineering Manager
MIT Lincoln Laboratory May 1990 - May 1995
Technical Staff
NASA-Ames Jan 1991 - Dec 1994
Research Engineer
US Peace Corps, Botswana Nov 1986 - Jun 1988
High School Teacher
Education:
Columbia University in the City of New York 1988 - 2000
University of Wisconsin-Madison
Skills:
Saas, Product Management, Enterprise Software, Business Intelligence, Cloud Computing, Analytics, Agile Methodologies, Software Development, Start Ups, Databases, Big Data, Software Project Management, Integration, Data Warehousing, Professional Services, Agile Project Management, Software Engineering, Requirements Analysis, Sdlc, Technical Leadership, Strategic Leadership, Architecture, Soa, Pre Sales, Lean Startup, Microsoft Sql Server, Architectures, Solution Architecture
Interests:
Cloud Data Services
Marketplaces
Analytics
Health Care
Enterprise Software
Software
Big Data Analytics
Christopher Bergh Photo 27

Christopher Bergh

Christopher Bergh Photo 28

Coo At Leapfrogrx

Location:
Greater Boston Area
Industry:
Computer Software
Christopher Bergh Photo 29

Vp, Marketing & Business Deveopment At Ernest Health, Inc

Location:
United States
Industry:
Hospital & Health Care

Publications & IP owners

Us Patents

Offer Delivery System

US Patent:
8533038, Sep 10, 2013
Filed:
Feb 5, 2001
Appl. No.:
09/777614
Inventors:
Christopher P. Bergh - Lexington MA, US
Michael S. Bauer - Shrewsbury MA, US
Sidra Michon - Littleton MA, US
Zack Miloushev - Boxford MA, US
Kevin Furbish - Belmont MA, US
Charles Evett - Concord MA, US
Gregory Erman - Sudbury MA, US
John Mandel - Acton MA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 30/00
US Classification:
705 1435, 705 141, 705 1425
Abstract:
An offer delivery system provides a mechanism for coordinating presentation of offers to customers that may originate from multiple different sources and that may be delivered to the customers over different channels. The systems makes use of rules to prioritize, select, and time the delivery of offers to any particular customer, allocate limited resources in the channels to deliver offers to a set of customers, and provide mechanisms for users or their agents to limit the delivery of offers, for example, by their frequency or type.

Offer Delivery System

US Patent:
8620740, Dec 31, 2013
Filed:
Oct 16, 2006
Appl. No.:
11/549797
Inventors:
Christopher P. Bergh - Lexington MA, US
Michael S. Bauer - Shrewsbury MA, US
Sidra Michon - Littleton MA, US
Zack Miloushev - Boxford MA, US
Kevin Furbish - Belmont MA, US
Charles Evett - Concord MA, US
Gregory Erman - Sudbury MA, US
John Mandel - Acton MA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06Q 30/00
US Classification:
705 1435, 705 141, 705 1425
Abstract:
An offer delivery system provides a mechanism for coordinating presentation of offers to customers that may originate from multiple different sources and that may be delivered to the customers over different channels. The systems makes use of rules to prioritize, select, and time the delivery of offers to any particular customer, allocate limited resources in the channels to deliver offers to a set of customers, and provide mechanisms for users or their agents to limit the delivery of offers, for example, by their frequency or type.

Offer Delivery System

US Patent:
2011020, Aug 25, 2011
Filed:
May 4, 2011
Appl. No.:
13/100447
Inventors:
Christopher P. Bergh - Lexington MA, US
Michael S. Bauer - Shrewsbury MA, US
Sidra Michon - Littleton MA, US
Zack Miloushev - Boxford MA, US
Kevin Furbish - Belmont MA, US
Charles Evett - Concord MA, US
Gregory Erman - Sudbury MA, US
John Mandel - Acton MA, US
International Classification:
G06Q 30/00
US Classification:
705 1441
Abstract:
An offer delivery system provides a mechanism for coordinating presentation of offers to customers that may originate from multiple different sources and that may be delivered to the customers over different channels. The systems makes use of rules to prioritize, select, and time the delivery of offers to any particular customer, allocate limited resources in the channels to deliver offers to a set of customers, and provide mechanisms for users or their agents to limit the delivery of offers, for example, by their frequency or type.

Distributed System For Facilitating Exchange Of User Information And Opinion Using Automated Collaborative Filtering

US Patent:
6112186, Aug 29, 2000
Filed:
Mar 31, 1997
Appl. No.:
8/828631
Inventors:
Christopher P. Bergh - Lexington MA
Max E. Metral - Boston MA
David Henry Ritter - Boxborough MA
Jonathan Ari Sheena - Cambridge MA
James J. Sullivan - Arlington MA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 1760
US Classification:
705 10
Abstract:
A system for facilitating exchange of user information and opinion using automated collaborative filtering includes memory elements for storing item profiles and user profiles. The data contained in those profiles is used to calculate a number of similarity factors representing how closely the preferences of one user correlate with another. The similarity factors are evaluated to select a set of neighboring users for each user which represents the set of users which most closely correlate with a particular user. The system assigns a weight to each one of the neighboring users. The system uses the ratings given to items by those neighboring users to recommend an item to a user. The system may be distributed, i. e. the system may include a number of nodes connected to a central server. The central server includes a memory element for storing user profile data and the nodes may be the type of system described above.

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