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

Dmitry Grapov Resume and CV

  • 1.
    Dmitry Grapov, PhD SUMMARY Leader indata 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 [email protected] 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