STEPHEN LAWRENCE, RN, EMT-P
Nursing at Morningside Ave, New York, NY
License number
New York 648654
Category
Nursing
Type
Registered Nurse
Address
Address
14 Morningside Ave APT 26, New York, NY 10026
Phone
(212) 662-3215
Personal information
See more information about STEPHEN LAWRENCE at radaris.comName
Address
Phone
42 Factory St, Warwick, NY 10990
515 Stewart Ave, New Hyde Park, NY 11040
49 Wardwell St, Adams, NY 13605
360 Dumont Ave APT 5B, Brooklyn, NY 11212
8 Canal Dr, Godeffroy, NY 12729
Professional information
Director At Openlink Energy
Position:
Director at OpenLink Energy
Location:
Houston, Texas Area
Industry:
Computer Software
Work:
OpenLink Energy
- Houston, TX since Jul 2000
-
Director
Sirius Solutions
- Houston, Texas Area Mar 2012 - Jul 2012
-
Director
OpenLink Financial LLC
- Houston, Texas Jul 2000 - Mar 2012
-
Director - Sales
Dow Jones
- New York, NY and Houston TX 1996 - 2000
-
Sales Executive
Energex (Acquired by ABN Amro September 1998)
- New York, NY 1994 - 1996
-
Broker
WJ Nolan & Company
- New York, NY 1991 - 1994
-
Fixed Income Broker - Institutional Accounts
Education:
New York University 1987 - 1991
Bachelors, English, Economics
Bachelors, English, Economics
Associate Professor, Department Chair Of Physics &Amp; Astronomy, Hofstra University
Position:
Associate Professor, Chair of the Dept. of Physics & Astronomy at Hofstra University
Location:
Greater New York City Area
Industry:
Primary/Secondary Education
Work:
Hofstra University
since Feb 2001
-
Associate Professor, Chair of the Dept. of Physics & Astronomy
Columbia University
Jul 1998 - Jun 2001
-
Postdoctoral Researcher
Bowling Green State University, Ohio
Sep 1997 - May 1998
-
Visiting Assistant Professor of Astronomy
Observatorio Astronomico Nacional, Universidad Nacional Autonoma de Mexico
Nov 1995 - Aug 1997
-
Postdoctoral Resident Astronomer
Education:
University of Michigan 1988 - 1995
Ph.D., M.S., Astronomy University of Chicago 1984 - 1988
B.A., Physics Hofstra University
Ph.D., M.S., Astronomy University of Chicago 1984 - 1988
B.A., Physics Hofstra University
Languages:
Spanish
At Lawrence Consulting &Amp; Investments
Position:
Board Chair at Lacawac Sanctuary, Director- Economic Development at SCORE, President/Owner at Lawrence Consulting & Investments
Location:
Greater New York City Area
Industry:
Management Consulting
Work:
Lacawac Sanctuary
since Jul 2008
-
Board Chair
SCORE
since Jan 2007
-
Director- Economic Development
Lawrence Consulting & Investments
since Jan 1996
-
President/Owner
MetroAction
- NEPA 2009 - 2011
-
Board Member
Diversified Information Technologies
Dec 2000 - Apr 2002
-
COO
Commonwealth Telephone Enterprises
Jan 1997 - Oct 1999
-
Senior VP/GM- Diversified Businesses
AT&T
Jan 1971 - Jan 1996
-
CFO-AT&T HealthCare Solutions
Education:
University of Illinois at Urbana-Champaign - College of Business
Executive Development, AT&T Executive Succession & Development Adrian College
BA, Bus Admin
Executive Development, AT&T Executive Succession & Development Adrian College
BA, Bus Admin
Vice President Of Development At Broadridge
Position:
Vice President of Development at Broadridge
Location:
Greater New York City Area
Industry:
Financial Services
Work:
Broadridge
since Mar 2001
-
Vice President of Development
Education:
New York Institute of Technology-Old Westbury 1983 - 1992
MBA, BS, Masters - Business, BS - Computer Science
MBA, BS, Masters - Business, BS - Computer Science
Skills:
Financial Services
President At Stephen Lawrence Music
Position:
President at Stephen Lawrence Music
Location:
Greater New York City Area
Industry:
Music
Work:
Stephen Lawrence Music
-
President
Autonomous Citation Indexing And Literature Browsing Using Citation Context
US Patent:
6738780, May 18, 2004
Filed:
May 16, 2001
Appl. No.:
09/859031
Inventors:
Stephen R. Lawrence - New York NY
Kurt D. Bollacker - Austin TX
C. Lee Giles - Lawrenceville NJ
Kurt D. Bollacker - Austin TX
C. Lee Giles - Lawrenceville NJ
Assignee:
NEC Laboratories America, Inc. - Princeton NJ
International Classification:
G06F 1700
US Classification:
707101, 707 2, 707 3, 707 5, 707 7, 707102
Abstract:
An autonomous citation indexing system which can be used as an assistant agent automates and enhances the task of finding publications in electronic form, including publications located on the world wide web. The system parses citations from papers and identifies citations to the same paper that may differ in syntax. The system also extracts and provides the context of citations to a given paper, allowing a researcher to determine what is published in other papers about a given paper. Common citations and word or string vector distance similarity are used to find related articles in a search.
Inferring Hierarchical Descriptions Of A Set Of Documents
US Patent:
7165024, Jan 16, 2007
Filed:
Jul 31, 2002
Appl. No.:
10/209594
Inventors:
Eric J. Glover - North Brunswick NJ, US
Stephen R. Lawrence - New York NY, US
David M. Pennock - Monroe Township NJ, US
Stephen R. Lawrence - New York NY, US
David M. Pennock - Monroe Township NJ, US
Assignee:
NEC Laboratories America, Inc. - Princeton NJ
International Classification:
G06F 17/27
US Classification:
704 9
Abstract:
A method automatically determines groups of words or phrases that are descriptive names of a small set of documents, as well as infers concepts in the small set of documents that are more general and more specific than the descriptive names, without any prior knowledge of the hierarchy or the concepts, in a language independent manner. The descriptive names and the concepts may not even be explicitly contained in the documents. The primary application of the invention is for searching of the World Wide Web, but the invention is not limited solely to use with the World Wide Web and may be applied to any set of documents. Classes of features are identified in order to promote understanding of a set of documents. Preferably, there are three classes of features. “Self” features or terms describe the cluster as a whole.
Method For Retrieving Answers From An Information Retrieval System
US Patent:
7269545, Sep 11, 2007
Filed:
Mar 30, 2001
Appl. No.:
09/823052
Inventors:
Yevgeny Agichtein - New York NY, US
Stephen R. Lawrence - New York NY, US
Stephen R. Lawrence - New York NY, US
Assignee:
NEC Laboratories America, Inc. - Princeton NJ
International Classification:
G06F 17/30, G06F 17/00
US Classification:
704 9, 704 1, 707 3, 707 5
Abstract:
The invention is a method for retrieving answers to questions from an information retrieval system. The method involves automatically learning phrase features for classifying questions into different types, automatically generating candidate query transformations from a training set of question/answer pairs, and automatically evaluating the candidate transforms on information retrieval systems. At run time, questions are transformed into a set of queries, and re-ranking is performed on the documents retrieved.
Selective Retrieval Metasearch Engine
US Patent:
2002016, Nov 7, 2002
Filed:
Jun 29, 2001
Appl. No.:
09/896338
Inventors:
Eric Glover - West Windsor NJ, US
Stephen Lawrence - New York NY, US
Stephen Lawrence - New York NY, US
Assignee:
NEC Research Insititute, Inc. - Princeton NJ
International Classification:
G06F007/00
US Classification:
707/005000
Abstract:
A selective retrieval metasearch engine uses relevance estimation and confidence computation to select documents for which additional information is to be obtained. The additional information is used to update relevance estimation for the selected documents. A selective retrieval metasearch engine improves execution time, resource usage, throughput, and/or result quality.
Meta Search Engine
US Patent:
6999959, Feb 14, 2006
Filed:
Jul 10, 1998
Appl. No.:
09/113751
Inventors:
Stephen R. Lawrence - New York NY, US
C. Lee Giles - Lawrenceville NJ, US
C. Lee Giles - Lawrenceville NJ, US
Assignee:
NEC Laboratories America, Inc. - Princeton NJ
International Classification:
G06F 17/30
US Classification:
707 5, 707 3, 707 4, 707 10
Abstract:
A computer implemented meta search engine and search method. In accordance with this method, a query is forwarded to one or more third party search engines, and the responses from the third party search engine or engines are parsed in order to extract information regarding the documents matching the query. The full text of the documents matching the query are downloaded, and the query terms in the documents are located. The text surrounding the query terms are extracted, and that text is displayed.