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