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Vera Cherepinsky Phones & Addresses

  • 7 Cobblers Mill Rd, Sandy Hook, CT 06482 (203) 364-9275
  • 8246 135Th St, Jamaica, NY 11435 (718) 520-1869
  • 8246 135Th St APT 2T, Jamaica, NY 11435 (718) 520-1869
  • 68 Hope St, Stamford, CT 06906 (203) 324-0741
  • Brooklyn, NY
  • Emerson, NJ

Work

Company: New york university 2014 to 2015 Position: Statistical consultant

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Courant Institute of Mathematical Sciences 1998 to 2003 Specialities: Mathematics, Philosophy

Skills

Teaching • Research • Mathematics • Applied Mathematics • Mathematical Modeling • Computer Science • Latex • Mathematica • Matlab • C • C++ • University Teaching • Numerical Analysis • Statistics • Higher Education • Curriculum Design • Curriculum Development • Academic Administration • Academia • Computational Biology • Courses • Educational Technology • Faculty Development • College Teaching • E Learning • Academic Advising • Student Development • Student Affairs • Mathematics Education • Adult Education • Instructional Design • Tutoring • Instructional Technology • Scientific Computing • Physics

Languages

English • Russian

Interests

Education

Industries

Biotechnology

Resumes

Resumes

Vera Cherepinsky Photo 1

Vera Cherepinsky

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Location:
Sandy Hook, CT
Industry:
Biotechnology
Work:
New York University 2014 - 2015
Statistical Consultant

Beacon A Greenwich Education Group School Jan 2014 - Aug 2014
Mathematics Teacher

Post University 2012 - 2013
Academic Program Manager For Mathematics

Fairfield University 2004 - 2012
Assistant Professor of Mathematics

Bioarray Solutions 2002 - 2004
Consultant
Education:
Courant Institute of Mathematical Sciences 1998 - 2003
Doctorates, Doctor of Philosophy, Mathematics, Philosophy
New York University 1998 - 2001
Master of Science, Masters, Mathematics
New York University - Polytechnic School of Engineering 1995 - 1999
Master of Science, Masters, Computer Science
New York University - Polytechnic School of Engineering 1994 - 1998
Bachelors, Bachelor of Science, Mathematics
Abraham Lincoln High School 1992 - 1994
Skills:
Teaching
Research
Mathematics
Applied Mathematics
Mathematical Modeling
Computer Science
Latex
Mathematica
Matlab
C
C++
University Teaching
Numerical Analysis
Statistics
Higher Education
Curriculum Design
Curriculum Development
Academic Administration
Academia
Computational Biology
Courses
Educational Technology
Faculty Development
College Teaching
E Learning
Academic Advising
Student Development
Student Affairs
Mathematics Education
Adult Education
Instructional Design
Tutoring
Instructional Technology
Scientific Computing
Physics
Interests:
Education
Languages:
English
Russian

Business Records

Name / Title
Company / Classification
Phones & Addresses
Vera Cherepinsky
Assistant Professor-mathematics And Computer Science
FAIRFIELD UNIVERSITY
College/University · University · College/University Elementary/Secondary School · School/Educational Services · Library · Boys School · College/University Vocational School · Schools
1073 N Benson Rd, Fairfield, CT 06824
(203) 254-4000, (203) 254-4111, (203) 254-4044, (203) 254-4280

Publications

Us Patents

Methods, Software Arrangements, Storage Media, And Systems For Genotyping Or Haplotyping Polymorphic Genetic Loci Or Strain Identification

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US Patent:
7917297, Mar 29, 2011
Filed:
Aug 2, 2004
Appl. No.:
10/567126
Inventors:
Vera Cherepinsky - Sandy Hook CT, US
Bhubaneswar Mishra - Great Neck NY, US
Assignee:
New York University - New York NY
International Classification:
G01N 33/48
US Classification:
702 19
Abstract:
The present invention relates generally to systems, methods, storage media, and software arrangements for genotyping and/or haplotyping a sequence of polymorphic genetic loci in a deoxyribonucleic acid (DNA) sample or identifying a strain variant from the DNA sample. Exemplary embodiments of systems, methods, storage media, and software arrangements may perform the optimization of the design of one or more microarrays, each containing a set of oligonucleotide probes capable of detecting one or more known genotypes and/or haplotypes at given polymorphic genetic loci or identifying the strain variant, by optimizing the set of oligonucleotides to be incorporated into the microarrays and by optimizing the arrangement of a set of oligonucleotides on the microarrays. The optimization may be achieved through the application of one or more optimization procedures. The instant invention may be useful in typing individuals at the HLA loci or other polymorphic genetic loci, or may be employed to quickly identify viral or bacterial pathogens from which genome sequence information is available.

Nucleic Acid Analysis By Multiplexed Hybridization And Probe Design For Multiplexed Hybridization Analysis

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US Patent:
20050250115, Nov 10, 2005
Filed:
May 7, 2004
Appl. No.:
10/841931
Inventors:
Vera Cherepinsky - Stamford CT, US
Bhubaneswar Mishra - Great Neck NY, US
Ghazala Hashmi - Holmdel NY, US
Michael Seul - Fanwood NJ, US
International Classification:
C12Q001/68
G06F019/00
G01N033/48
G01N033/50
US Classification:
435006000, 702020000
Abstract:
Disclosed is an analysis method useful in multiplexed mutation analysis or, in hybridization-mediated multiplexed analysis of polymorphisms under conditions permitting competitive hybridization, i.e., wherein single strands of a labeled nucleic acid of interest (“target”) interact with two or more pairs of immobilized degenerate capture probes. In one embodiment, one member of each pair has a sequence that is complementary to the normal (“wild-type”) sequence in a designated location of the target, while the other member of each pair has a sequence that is complementary to an anticipated variant (“mutant” or “polymorph”) sequence in that location of the target. The methods herein permit the selection of two or more probe pairs such that, for each pair of probes interacting with a given target strand, the interaction of the target with a preferred member of the probe pair is optimized. Also disclosed is a method of interpreting results obtained by multiplexed hybridization of the target to two or more pairs of probes under conditions permitting competitive hybridization.

Methods, Software Arrangements, Storage Media, And Systems For Providing A Shrinkage-Based Similarity Metric

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US Patent:
20070078606, Apr 5, 2007
Filed:
Apr 23, 2004
Appl. No.:
10/554669
Inventors:
Vera Cherepinsky - Sandy Hook CT, US
Marc Rejali - London, GB
Bhubaneswar Mishra - Great Neck NY, US
International Classification:
G06F 19/00
G06Q 10/00
US Classification:
702020000, 705001000
Abstract:
The present invention relates to systems, methods, and software arrangements for determining associations between two or more datasets. The systems, methods, and software arrangements used to determine such associations include a determination of a correlation coefficient that incorporates both prior assumptions regarding such datasets and actual information regarding the datasets. The systems, methods, and software arrangements of the present invention can be useful in an analysis of microarray data, including gene expression arrays, to determine correlations between genotypes and phenotypes. Accordingly, the systems, methods, and software arrangements of the present invention may be utilized to determine a genetic basis of complex genetic disorder (e.g. those characterized by the involvement of more than one gene).

Methods, Software Arrangements, Storage Media, And Systems For Providing A Shrinkage-Based Similarity Metric

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US Patent:
20120253960, Oct 4, 2012
Filed:
Dec 12, 2011
Appl. No.:
13/323425
Inventors:
Vera Cherepinsky - Sandy Hook CT, US
Jia-Wu Feng - Beijing, CN
Marc Rejali - New London, GB
Bhubaneswar Mishra - Great Neck NY, US
Assignee:
New York University - New York NY
International Classification:
G06F 19/22
G06Q 30/00
G06Q 40/04
US Classification:
705 261, 702 19, 705 37
Abstract:
The present invention relates to systems, methods, and software arrangements for determining associations between two or more datasets. The systems, methods, and software arrangements used to determine such associations include a determination of a correlation coefficient that incorporates both prior assumptions regarding such datasets and actual information regarding the datasets. The systems, methods, and software arrangements of the present invention can be useful in an analysis of microarray data, including gene expression arrays, to determine correlations between genotypes and phenotypes. Accordingly, the systems, methods, and software arrangements of the present invention may be utilized to determine a genetic basis of complex genetic disorder (e.g. those characterized by the involvement of more than one gene).
Vera Cherepinsky from Sandy Hook, CT, age ~47 Get Report