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Data Analyst, Data Scientist

Location:
Cary, NC
Posted:
December 01, 2020

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Resume:

Barbara Sanchez Neri, M. S.

Pittsburgh, PA adh9sl@r.postjobfree.com 469-***-****

Computational Biologist

Research Experience and Laboratory Work

Core Competencies

Strong Science Background: Genetics, Biology, Entomology

Molecular Biology Skills

Statistics, Programming and Machine Learning

Trilingual: English, Spanish, French

Education

Carnegie Mellon University, Pittsburgh PA

Master of Science (MS), Computational Biology

Purdue University, West Lafayette, IN

Master of Science (MS), Entomology

Bachelor of Science (BS), Biochemistry

Technical and Molecular Biology Skills

Programming Languages: Java, MATLAB, SAS, Linux, Python, and R

Languages: English, Spanish (Native) and French (Conversation, Speaking, Reading)

Molecular Biology: Westerns, Protein Purification, Protein/DNA/RNA extraction, PCR, Sequencing, Real-Time PCR

Certifications

SAS Certified Specialist: Base Programming Using SAS 9.4

Statistics Certificate, Texas A &M University

Professional Experience

Center for Hearing and Deaf Services, Pittsburgh, PA 2015-Present

Bilingual Interpreter

Help facilitate communication between patient and health provider

Texas A & M University, College Station, TX 2008-2011

Research Assistant

Found resistance gene in peanuts for M. arenaria with DNA extraction and PCR with SSR primers for farmers to plant the resistant peanuts

Determining which wheat varieties are resistant or susceptible to M. marylandii

Gas chromatography analysis of peanut oils to study oleic and linoleic acid concentrations

Supervised 1-2 interns to ensure internship requirements were met and delegated lab work to interns

Managed laboratory with upkeep of nematode cultures and ordering of laboratory supplies

Purdue University, West Lafayette, IN

Research Assistant

Identified a histone in promastigotes and amastigotes of Leishmania mexicana Mexicana 2004-2004

Designed Protocol for Histone Extraction to identify histones using mass spectrometry

Barbara Sanchez Neri, M.S. https://www.linkedin.com/in/barbara-sanchez-neri

Research Experience

Purdue University, West Lafayette, IN

Graduate Research Assistant

Thesis Title: The role of CYP6G1 and CYP12D1 in DDT resistance in Drosophila melanogaster.

Determine whether over-expression of transgenic CYP6G1, CYP12D1 or both will increase LC50 to DDT.

Determine whether over-expression of transgenic CYP6G1, and CYP12D1, or both, will result in increased frequency of these alleles in D. melanogaster laboratory populations under DDT selection.

Used transgenic fruit flies that had genes of interest and did DDT bioassays

Demonstrated that transgenic fly stocks had elevated LC50 and increased allelic frequencies under some circumstances

Undergraduate Honors Research

Thesis Title: Comparing expression of pathogenesis-related genes in resistant and susceptible wheat versus a non-host response in oat.

Determine whether different modes of Hessian fly-resistance are used by wheat and oat by comparing up- or down-regulation of genes during infestation.

Extracted RNA from wheat and oat that had been infested with Hessian flies and did Real-Time PCR on previous identified genes that showed up or down-regulation.

Demonstrated that the non-host response of oat has many similarities to the resistance response of wheat.

University of Missouri Dept. of Plant Microbiology and Pathology, Columbia, MO

Research Internship

Title of project: Characterization of virus resistance in Nicotiana.

Demonstrated that N. edwardsonii var. Columbia and N. clevelandii plants can be used to determine what other virus resistance genes are in N. glutinosa.

Verified that a pair of N. glutinosa chromosomes have been introgressed.

Cloned and sequenced the first 800 base pairs, of the N gene from N. edwardsonii.

Ecole Supérieure d'Agriculture de Purpan, Toulouse, France

Research Internship

Extracted glutenin from different types of wheat

Academic Projects

Statistics Certificate Texas A & M University

Title of project: Analysis of Leukemia Data Set

Final project that consists of concepts learned in the course work for the online certificate.

Using Machine Learning algorithms identified leukemia types by their global gene expression.

Used R and SAS for clustering, SOM’s, Random Forests and multiple logistic regression algorithms.

Carnegie Melon University, Class: Algorithms in Nature

Title of project: Model of the dispersal of varicella in small-world networks with SIR dynamics

Implemented small world-networks in an SIR model of varicella in Matlab using small world-networks.

Determined that more neighbors mean that the varicella spreads and leaves quicker than in small worlds of lesser interactions.

Carnegie Melon University, Class: Computational Genomics

Title of project: Ensemble Feature Reduction and Classification of Time Series Expression Data using Hidden Markov Models

Built a classifier using Hidden Markov models (HMMs) in Matlab from gene-expression data while at the same time taking in consideration feature reduction and profile alignment to reduce the dimensionality of the feature space.

Carnegie Melon University, Class: Machine Learning-CMU Fall 2011

Title of project: Automated Micrograph Modality Identification by Sparse Coding on Partially Curated Database

Examined biological images that have existing annotations and learn an image-modality classifier to help us label incomplete metadata on partially annotated images

Improved classifier had better accuracy than the model presented in the original paper

Experimental control, and extending modalities of SLIF



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