Eric Snyder

Eric Snyder Email and Phone Number

Data Scientist at Freeport-McMoRan @ Freeport-McMoRan
phoenix, arizona, united states
Eric Snyder's Location
Mesa, Arizona, United States, United States
Eric Snyder's Contact Details

Eric Snyder personal email

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Eric Snyder phone numbers

About Eric Snyder

Senior bioinformatics scientist and software engineer with experience in industry, academia and government. Trained in molecular biology, biochemistry, pharmacology and bioinformatics. Expertise in software development applied to sequence analysis for genome annotation, phylogenetics and biomarker development. Experience building online databases for genomic and post-genomic data in support of biomedical research. Specialties: Eukaryotic gene identification, high-throughput sequence annotation, microarray analysis, dynamic programming, neural networks, hidden Markov models, information theory, statistical genetics, phylogenetics, UNIX, Python, Perl, C, R.Currently applying data science and machine learning to optimize throughput and recovery in the mining industry. I am changing the scale of my studies from the microgram to the megaton-- that's 18 orders of magnitude!

Eric Snyder's Current Company Details
Freeport-McMoRan

Freeport-Mcmoran

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Data Scientist at Freeport-McMoRan
phoenix, arizona, united states
Website:
fmjobs.com
Employees:
6326
Eric Snyder Work Experience Details
  • Freeport-Mcmoran
    Data Scientist
    Freeport-Mcmoran Sep 2019 - Present
    Phoenix, Arizona Area
    Applying statistics, machine learning and software development to optimize the recovery process for non-ferrous metals in mining industry.
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  • Arizona State University
    Research Scientist
    Arizona State University Feb 2017 - Nov 2017
    Tempe, Az
    Developed a Python application to build and optimize diagnostic classifiers based on an evaluation of a subject’s humoral immune response using peptide microarrays. The application begins by extracting and normalizing feature intensities from chips processed with sera from study participants with specific clinical presentations (factors). Subjects are grouped by factor (e.g., case and control) and each feature is evaluated by t-test to assess the significance of the differential immune response. Peptides are ranked by p-value and a subset extracted for use as potential diagnostic marker panel. To evaluate this potential, array data is used to train an SVM or naïve Bayesian classifier to differentiate between subjects in one group versus another. A cross-validation procedure is employed to obtain an accurate and realistic assessment of the classifier’s generalization performance. The optimal choice of classifier, normalization method, p-value cutoff, peptide count and other model parameters must be determined heuristically. By putting all aspects of classifier construction, optimization, training and testing into a single application, it is possible to systematically explore the parameter space around each classifier candidate. This method has been used to build diagnostic systems for several cancers (including breast, lung and pancreas) and numerous infectious diseases, often with unprecedented accuracy.
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  • Sra, A Csra Company
    Senior Business System Analyst
    Sra, A Csra Company Sep 2015 - Oct 2016
    Greater Atlanta Area
    Senior Business Analyst, contractor for the Centers for Disease Control and Prevention; Office of Public Health Scientific Services; Center for Surveillance, Epidemiology, and Laboratory Services; Division of Health Informatics and Surveillance (HHS/CDC/OPHSS/CSELS/DHIS).• Collected, organized and documented a detailed software requirements specification (SRS) for EPI INFO™ version 7.2, a suite of programs to support epidemiological studies. The application enables: the creation of sophisticated data collection questionnaires, suitable for field use on smartphones and other portable electronics; data storage and integration using RDBMS platforms and common file formats; data processing, recoding and analysis using descriptive and inferential statistics including multiple linear and logistic regression, KM survival curves, proportional hazards, complex sampling strategies and social (interaction) network analysis; integration with geographical information allowing subjects and other relevant features to be located on dynamic maps and overlaid with demographic, socio-economic or other reference data.• The SRS, based on the ISO/IEEE-830 and -29148 standards, is aimed at promoting and facilitating collaborative and 3rd-party development of the open source/GPL EPI INFO™ software. Requirements are published online using Atlassian Confluence and integrated with JIRA, an Agile-oriented task-tracking system.
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  • Sra International
    Senior Scientist, Bioinformatics; Centers For Disease Control & Prevention [C]
    Sra International Jun 2013 - Sep 2015
    Greater Atlanta Area
    Senior Scientist, Bioinformatics, contractor for the Center for Disease Control and Prevention, Office of Infectious Diseases, National Center for Immunization and Respiratory Diseases, Influenza Division, Office of Director• Lead developer responsible for design and implementation of sequence analysis pipeline services for Influenza Surveillance Data Management System (ISDMS), an in-house database and analysis resource for influenza sequence, annotation and metadata.• Primary annotation program used a database of 92 HMMs based on SME-derived, lineage-specific segment groups to identify influenza type (A or B), segment (1-8) and lineage of sequence, then performs NA-to-AA spliced alignment to known segment proteins to determine precise CDS coordinates. Also created BLAST-based programs for identifying segments from 2009 H1N1 pandemic strain and recently-identified H1 and H3 variants.• Conceived of and designed JSON Feature Format (JFF), a standardized web-service-friendly format for sequence features and metadata, used by all ISDMS pipeline programs. Wrote Perl libraries to manipulate, validate and load JFF data into BioSQL databases (such as ISDMS).• Development mechanism for synchronizing ISDMS with GenBank using NCBI eUtilities. Parsed free-text host data and mapped to NCBI taxonomy. Wrote script to query ISDMS and efficiently build non-redundant AA & NT BLAST databases using MD5 hash keys.
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  • Sra International
    Senior Scientist, Bioinformatics; National Cancer Institute [C]
    Sra International May 2011 - Feb 2013
    2115 East Jefferson St, Rockville, Md 20852-4902
    Senior Scientist, Bioinformatics, contractor for the Data Coordination Center (DCC) of theCancer Genome Atlas project (TCGA), a join program of the National Cancer Institute (NCI) andNational Human Genome Research Institute (NHGRI) aimed at identifying the molecular basis ofcancer using high-throughput genome analysis technologies.* Acted as POC for the Biospecimen Core Resource centers to coordinate the development and evolution of the XML schema representing clinical information and biospecimens.* Wrote and documented software to assemble, validate and submit data to the DCC and other NIH databases; supplied detailed requirements for the 2 -generation DCC database and UI.* Represented the DCC on the Analysis Working Groups (AWGs) for acute myeloid leukemia (AML), stomach and esophageal carcinoma, and ovarian serous cystadenocarcinoma, managing data freezes and ensuring availability of all clinical and molecular data.
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  • Virginia Tech
    Senior Scientist, Bioinformatics
    Virginia Tech Oct 2004 - Oct 2010
    Blacksburg, Virginia, United States
    Bioinformatics and genomics research; development of algorithms and computational pipelines for genome annotation; annotation of microbial genomes; meta-analyses: orthology, phylogenetics; contributed to development of online resource for microbial genomics to support biomedical research on pathogen counter-measures.
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  • Pennington Biomedical Research Center, Louisiana State University
    Associate Professor
    Pennington Biomedical Research Center, Louisiana State University Apr 2000 - Oct 2004
    Used statistical genetics to identify genes associated with human obesity.Organized and maintained the Obesity Gene Map Database, a database of loci (genes and markers) associated with obesity-related phenotypes.Created software to facilitate the interpretation of Serial Analysis of Gene Expression (SAGE) studies, a sequence-based method to identify and quantify mRNA species to measure gene expression.
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Eric Snyder Skills

Genomics Bioinformatics Computational Biology Genetics Perl Molecular Biology Sequence Analysis Life Sciences Biotechnology Biochemistry R Science Databases Microbiology Data Mining Lifesciences Sequencing Dna Algorithms Software Development Microarray Analysis Infectious Diseases Unix Biology Machine Learning Hidden Markov Models Population Genetics Computer Science Programming Sql Biomarker Discovery Dna Sequencing Proteomics Transcriptomics Comparative Genomics Gene Expression Cancer Research C Neural Networks Information Theory Molecular Genetics Biostatistics Phylogenetics Agile Methodologies Bioperl Python Numpy Biopython

Eric Snyder Education Details

Frequently Asked Questions about Eric Snyder

What company does Eric Snyder work for?

Eric Snyder works for Freeport-Mcmoran

What is Eric Snyder's role at the current company?

Eric Snyder's current role is Data Scientist at Freeport-McMoRan.

What is Eric Snyder's email address?

Eric Snyder's email address is er****@****sra.com

What is Eric Snyder's direct phone number?

Eric Snyder's direct phone number is +148028*****

What schools did Eric Snyder attend?

Eric Snyder attended University Of Colorado Boulder, University Of Colorado Boulder, The Johns Hopkins University.

What are some of Eric Snyder's interests?

Eric Snyder has interest in Ipsc, Artificial Intelligence, Unix System Administration, Gene Prediction, Self Organizing Machines, Eukaryotic And Prokaryotic Genomics, Politics, Finger Style Guitar, Education, Environment.

What skills is Eric Snyder known for?

Eric Snyder has skills like Genomics, Bioinformatics, Computational Biology, Genetics, Perl, Molecular Biology, Sequence Analysis, Life Sciences, Biotechnology, Biochemistry, R, Science.

Who are Eric Snyder's colleagues?

Eric Snyder's colleagues are Betuel Alejandro García Salazar, Emgherberth Ayala, Raymond Kasanga, Alexander Elias, Arnold Beanal, Nta Nadine, Albert Hinojos.

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