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Robert J Kingan

from Tenafly, NJ
Age ~59

Robert Kingan Phones & Addresses

  • 164 W Clinton Ave, Tenafly, NJ 07670 (201) 227-2588
  • 133 Grove St, Tenafly, NJ 07670 (201) 227-2588
  • 222 Hickory Ave, Tenafly, NJ 07670 (201) 227-2588
  • 345 Central Park Ave, Scarsdale, NY 10583 (914) 725-2091
  • 629 Bellenden Dr, Peachtree City, GA 30269 (770) 486-5518
  • 189 Townhouse, Hershey, PA 17033
  • Hummelstown, PA
  • Silver Spring, MD
  • North Little Rock, AR
  • Conway, AR

Resumes

Resumes

Robert Kingan Photo 1

Senior Software Engineer And Data Scientist

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Location:
164 west Clinton Ave, Tenafly, NJ 07670
Industry:
Information Technology And Services
Work:
Bloomberg Lp
Senior Software Engineer and Data Scientist

Department of Mathematics Clayton State University Aug 2005 - Nov 2006
Assistant Professor

Prosanos Corporation Nov 2003 - May 2005
Software Engineer

Ajilon Aug 2000 - Sep 2002
Software Engineer

National Security Agency Oct 1996 - Aug 2000
Cryptologic Mathematician
Education:
Louisiana State University 1987 - 1992
Doctorates, Doctor of Philosophy, Mathematics
Skills:
Software Development
Software Engineering
Python
Sql
Xml
Java
Agile Methodologies
C++
Unix
Sdlc
Linux
Distributed Systems
C
Databases
Machine Learning
Robert Kingan Photo 2

Robert Kingan

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Robert Kingan Photo 3

Robert Kingan

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Robert Kingan Photo 4

Operation And Dump Truck Drive

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Work:

Operation and Dump Truck Drive

Publications

Us Patents

Method, System, And Software For Analyzing Pharmacovigilance Data

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US Patent:
20060111847, May 25, 2006
Filed:
Oct 25, 2005
Appl. No.:
11/257395
Inventors:
Ronald Pearson - Harrisburg PA, US
Robert Kingan - Peachtree City GA, US
Alan Hochberg - Harrisburg PA, US
International Classification:
G06F 19/00
US Classification:
702019000
Abstract:
A computer-implemented method of analyzing a dataset of pharmacovigilance data, includes determining a sample size-independent measure of association between two conditions of interest in the dataset of pharmacovigilance data; using a hypergeometric distribution to determine a measure of statistical unexpectedness between the conditions of interest in said dataset, wherein the distribution is based on an urn model under a hypothesis that the conditions are statistically independent; and displaying the measure of association with the measure of the statistical unexpectedness to identify a significant association between conditions of interest.
Robert J Kingan from Tenafly, NJ, age ~59 Get Report