Dmitry Grapov Resume and CV
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Dmitry Grapov is a data science leader seeking opportunities to develop teams using predictive modeling, machine learning, and data visualization. He has over 10 years of experience in data science, bioinformatics, and software development for applications in genomics, metabolomics, and personalized medicine. Grapov has a Ph.D. in Analytical Chemistry from the University of California, Davis and expertise in machine learning, comparative genomics, metagenomics, and mass spectrometry.
Dmitry Grapov Resume and CV
- 1. Dmitry Grapov, PhD SUMMARY Leader in data science and bioinformatics, seeking an opportunity to develop teams to bring value using creative and cutting edge predictive modeling, machine learning and data visualization solutions. WORK EXPERIENCE 2016 – present Data Science Lead of Visual and Predictive Analytics Genomics and Data Science, Monsanto Data Science, bioinformatics and software development team leader focusing on state-of-the-art methods in big data, machine learning, visual analytics, UI and API design for biotechnological applications 2013 – present Director of Data Science and Bioinformatics CDS- Creative Data Solutions Data mining, predictive modeling, network analysis and software design focusing for personalized medicine, genomics and metabolomics 2014 – 2016 Data Scientist Genomics and Data Science, Monsanto Machine learning, data analysis and visualization in high compute cloud environments focusing on comparative genomics, metagenomics, metabolomics and analytical process modeling 2013 – 2014 Principal Statistician NIH West Coast Metabolomics Center, U of California, Davis Omic integration, biomarker discovery, biochemical modeling (metabolomic, lipidomic, proteomic, glycomic and genomic), scientific writing, communication and teaching EDUCATION 2012 Ph.D in Analytical Chemistry with emphasis in biotechnology University of California, Davis; USDA-WHNRC 2007, 2005 B.S. Chemistry, B.S. Biology University of Utah, Utah DATA SCIENCE Machine Learning decision trees, boosting, SVM, neural networks, model validation, feature selection, dimensional reduction, clustering, data exploration, unsupervised analysis BIOCHEMISTRY Analysis comparative genomics, metagenomics, proteomics, metabolomics, lipidomics, omic-integration Manuscripts Google scholar: zfp5U0QAAAAJ ORCID: 0000-0002-7204-3128 Scopus: 53870105600 Mass Spectrometry GC-MS, UPLC-MS/MS, QTOF, chromatography, extraction, derivatization, fractionation SOFTWARE Languages R, Python, bash, javascript, CSS, HTML, SQL, SPARQL, Cypher, VBA Tools Git, AWS, Docker, Spark, Domino, H2O, stardog, SQL/no-SQL, graph/semantic databases LINKS dgrapov@gmail.com Blog: http://imdevsoftware.wordpress.com Projects: https://github.com/dgrapov Software: http://createdatasol.com/ Research: https://impactstory.org/u/0000-0002-7204-3128/ Hobby: https://www.flickr.com/photos/dgrapov/ Full CV: https://drive.google.com/open?id=0B51AEMfo-fh9Z05aM2p6XzFIOFE