Rex A Dwyer

age ~66

from Fuquay Varina, NC

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Also known as:

Rex Allen Dwyer
Dwyer A Rex

Connected to:

Rex Dwyer Phones & Addresses

Fuquay Varina, NC
Apex, NC
9504 Bells Valley Dr, Raleigh, NC 27617 • (919)8701548
7809 Mayapple Pl, Raleigh, NC 27613 • (919)7815525
4517 Bartlett Dr, Raleigh, NC 27609

Work

Company:

Bioinformatics
2008
Position:

Senior research scientist

Education

School / High School:

University of North Carolina at Chapel Hill- Chapel Hill, NC
May 2007
Specialities:

MS in Economics

Skills

Biotechnology • Bioinformatics • Genomics • Genetics • Research • Perl • Data Analysis

Languages

Spanish • German • Dutch

Industries

Biotechnology

Resumes

Biological Computationist

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Position:

Sr Research Scientist (Computational Biology) at Syngenta Biotechnology Inc

Location:

Raleigh-Durham, North Carolina Area

Industry:

Biotechnology

Work:

Syngenta Biotechnology Inc since Mar 2008
Sr Research Scientist (Computational Biology)
Duke University Medical Center Jul 2007 - Feb 2008
Bioinformatician
Dept of Romance Langs, UNC-Chapel Hill Sep 2006 - Dec 2006
Teaching Assistant
Syngenta Biotechnology Inc 2002 - 2005
Bioinformatics Specialist
North Carolina State University 1988 - 2001
Associate Professor

Education:

University of North Carolina at Chapel Hill 2005 - 2007
MS, Economics & Latin American Studies Carnegie-Mellon University Aug 1983 - May 1988
PhD, Computer Science Indiana University Aug 1979 - May 1981
MS, Computer Science Indiana University Aug 1976 - Jul 1979
AB, Germanic Languages Philipps-Universität Marburg 1978 - 1978

Skills:

Biotechnology
Bioinformatics
Genomics
Genetics
Research
Perl
Data Analysis

Languages:

Spanish
German
Dutch

Rex Dwyer Raleigh, NC

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Work:

Bioinformatics

2008 to 2000
Senior Research Scientist Center for Population Genomics and Pharmacogenomics, Duke University

2007 to 2007
Bioinformatician Syngenta Biotechnology, Inc

2002 to 2005
Bioinformatics Specialist (Contractor) LiveWire Logic, Inc

2001 to 2001
Independent Consultant North Carolina State University

1988 to 2001
Associate Professor, Computer Science

Education:

University of North Carolina at Chapel Hill
Chapel Hill, NC
May 2007
MS in Economics Carnegie-Mellon University
1988
PhD in Computer Science Indiana University
1979 to 1981
MS in Computer Science

Us Patents

In Silico Prediction Of High Expression Gene Combinations And Other Combinations Of Biological Components
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US Patent:

20120115734, May 10, 2012
Filed:

Nov 4, 2010
Appl. No.:

12/939586
Inventors:

Laura Potter - Cary NC, US
Michael Nuccio - Durham NC, US
Rex Dwyer - Raleigh NC, US
International Classification:

C40B 10/00
C40B 60/00
US Classification:

506 1, 506 33
Abstract:

Various systems and methods for selecting candidate biological components and/or combinations of biological components that affect a biological process are described. For example, a computing device may use a computer model to simulate the biological process and predict a phenotypic outcome. In this manner, the impact of candidate components and combinations may be determined using the computer model. The computing device may determine optimal characteristics such as expression levels of biological components that result in a desirable phenotypic outcome of the biological process as predicted by the computer model. The computing device may perform sensitivity analysis around the optimal characteristics. The sensitivity analysis may be used to determine whether the candidate combinations are robust across a range of the optimal characteristics. The computing device may select various candidate components and combinations based on the sensitivity analysis and the predicted phenotypic outcome.

Method For Analyzing Small Molecule Components Of A Complex Mixture, And Associated Apparatus And Computer Program Product
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US Patent:

20200312642, Oct 1, 2020
Filed:

Jun 12, 2020
Appl. No.:

16/900308
Inventors:

- Morrisville NC, US
David V. Foster - Durham NC, US
Rex A. Dwyer - Raleigh NC, US
Shelby S. Matlock - Durham NC, US
Casson Stallings - Chapel Hill NC, US
Michael Humphrey - Durham NC, US
Michael Heiser - Berlin, DE
International Classification:

H01J 49/00
H01J 49/26
H01J 49/06
G01J 3/02
G01J 3/28
Abstract:

A method, apparatus, and computer-readable storage medium for analyzing component separation/mass spectrometer data for a sample having known characteristic includes analyzing reference ion data for a relationship between ion mass, retention time, and intensity. The analyzed data is added to a repository, wherein each ion therein has an intensity maxima within a characteristic retention time range for a characteristic ion mass. If the reference ion is in the repository, the range is modified according to the characteristic retention time of the reference ion intensity maxima. Based on the known characteristic, an ion expected in the sample is selected from the repository, and sample data is compared to data for the ion selected from the repository to determine whether the ion is present in the sample. The range in the repository is then modified according to the characteristic retention time of the intensity maxima for the ion present in the sample.