Search

Steven K Handerson

from Providence, RI
Age ~61

Steven Handerson Phones & Addresses

  • 100 Exchange St UNIT 802, Providence, RI 02903 (401) 331-1624
  • 14 Riverbend Rd, Old Lyme, CT 06371
  • Lyme, CT
  • 40 Sylvan Rd, Waltham, MA 02451
  • Cincinnati, OH
  • Pittsburgh, PA
  • Wall, PA

Resumes

Resumes

Steven Handerson Photo 1

Senior Software Engineer

View page
Location:
14 Riverbend Rd, Old Lyme, CT 06371
Industry:
Biotechnology
Work:
Air Worldwide
Senior Software Engineer

Gen9, Inc. Aug 2014 - Apr 2016
Bioinformatics Scientist

Pattern Genomics Jul 2013 - May 2014
Consultant Engineer

454 Life Sciences Jul 2011 - Jun 2013
Bioinformatics Scientist Iii

Lockheed Martin Apr 2010 - Sep 2010
Senior Software Specialist
Education:
Carnegie Mellon University
Master of Science, Masters, Linguistics
Skills:
Bioinformatics
C++
Algorithms
Perl
Dna Sequencing
Software Engineering
Data Mining
Sequencing
Computational Biology
Genomics
Life Sciences
Linux
Software Development
Molecular Biology
Machine Learning
Programming
High Performance Computing
Software Design
Unix
Sequence Analysis
Genetics
Java
Subversion
C
Matlab
Assay Development
Dna
Data Analysis
Science
Sql
Javascript
Web Services
Databases
Distributed Systems
Jsp
Computer Science
Multithreading
Lifesciences
Signal Processing
Object Oriented Design
Scientific Computing
Ngs
Oracle
Comparative Genomics
Java Enterprise Edition
Integration
Python
Interests:
I Play A Good Game of Scrabble
When I'm Not Working
Steven Handerson Photo 2

Reporter

View page
Work:

Reporter
Steven Handerson Photo 3

Surgeon

View page
Work:

Surgeon

Publications

Us Patents

Method For Detecting Incorrectly Categorized Data

View page
US Patent:
6640228, Oct 28, 2003
Filed:
Nov 10, 2000
Appl. No.:
09/710436
Inventors:
Steven Kendall Handerson - Old Lyme CT
Jay Michael Ponte - Burlington MA
Assignee:
Verizon Laboratories Inc. - Waltham MA
International Classification:
G06F 700
US Classification:
707 6, 707 1, 707 3, 707100
Abstract:
A method for detecting incorrect categorization of data includes obtaining a database containing a plurality of entry-category pairs, calculating a score for each entry-category pair that corresponds to a likelihood that the pair contains an incorrect category assignment, and verifying the correctness of the assignment based on the score. The verification step can be conducted manually. The score assists users in focusing any manual verification efforts on data that may actually contain incorrect category assignments, thereby making the verification process more efficient. The method can be used to review and correct business name and phone number listings in telephone directories.
Steven K Handerson from Providence, RI, age ~61 Get Report