Accomplished Innovation Leader and Research Scientist skilled in polymers, rubber, composites, coatings materials characterizations. Expert in mechanical properties characterization, adhesion, durability, life prediction, quality and data analysis. In 2015, completed Data Science Specialization Track, and all modules of Executive Data Science and Genomics Data Science with distinction at Johns Hopkins University. Consult on composites, polymers, rubber compounds, plastics, and engineered products, mapping performance and value definition. Fluent French, German, and English. US citizen, born and educated in EU.
Innovation: Known as an creative problem solver, product developer, and prolific inventor, credited with more than 10 US Patents and numerous Trade Secrets. Passionately engaged in Data Analysis, Material Science, R&D, Sustainability, Value Innovation and Sustainability.
Leadership: Builds, recruits and develop highly effective teams that solve “impossible” problems.
Teaching and Mentoring: Adjunct Professor, Chemistry & Physics Departments, Kent State and Walsh Universities. Rebuilt curriculum for Goodyear Institute of Technology, a University of Akron accredited program.
Special Interests: Machine Learning, Natural Language Processing, Data Analytics, R, Bioconductor, Value Innovation, FEI, Testing and Data Analysis.
Data Analytics favorite Apache Spark, is progressing as a reference standard for Big Data, and a “fast and general engine for large-scale data processing”. In our previous post, we detailed how to expand ML tools using a PySpark kernel and leverage the …
Data Analytics favorites include Apache Spark, which is becoming a reference standard for Big Data, as a “fast and general engine for large-scale data processing”. Its built-in PySpark interface can run as a …