Jon Rue's Email & Phone - Boeing - Seattle, Washington

Jon Rue's Work Experience

Unify Consulting

Data Science Practice Manager

Seattle, Washington, United States

Novo Nordisk

Principal Data Scientist

December 2014 to April 2020

Seattle, WA

Novo Nordisk

Research Informatics Manager

November 2009 to December 2014

Seattle, WA

Jon Rue's Education

University of Washington

MS, Aeronautics and Astronautics

1996 to 1997

University of Southern California

BS, Aerospace Engineering

1990 to 1994

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About Jon Rue's Current Company

Boeing

Knowledge Based Product Definition Division. Responsible for the design, implementation, and support of knowledge based computer applications, decision support systems, and process automation systems. Typically these were high impact cost saving initiatives where the merging of systems and process integration strategies along with rule/knowledge based applications led to significant savings in either direct labor or cycle time...

Frequently Asked Questions about Jon Rue

What company does Jon Rue work for?

Jon Rue works for Boeing

What is Jon Rue's role at Boeing?

Jon Rue is Specialist Engineer

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What is Jon Rue's business email address?

Jon Rue's business email address is [email protected]***.***

What is Jon Rue's Phone Number?

Jon Rue's phone (206) ***-*899

What industry does Jon Rue work in?

Jon Rue works in the Biotechnology industry.

About Jon Rue

📖 Summary

Data Science Practice Manager @ Unify Consulting Unify Consulting is a magnet firm for superstar consultants, respectfully disrupting the consulting industry. Internally, we’ve invested in a meritocracy of optimistic experts without arrogance. Externally, we blend wisdom with technical chops to deliver data-driven, people-powered solutions. Seattle, Washington, United StatesPrincipal Data Scientist @ Novo Nordisk Provide data science expertise and lead development of research-based data science competencies in support of multiple biopharmaceutical discovery projects. Recent work includes: development and implementation of a scientific data integration framework focused on bringing the power of big-data analytics and visualization to research data and more importantly to the researchers themselves; development of agent based modeling and simulation system of in-vitro T-cell regulatory assays to improve accuracy in the assay development process; development of predictive models for biomarker discovery using machine learning techniques. Applying deep learning techniques (CNNs and RNNs) to build predictive models for protein production, screening, and characterization. From December 2014 to April 2020 (5 years 5 months) Seattle, WAResearch Informatics Manager @ Novo Nordisk Design, implementation, development, and lifecycle support of the analytical and data management tools and systems for a newly established research center. Develop novel scientific analytical and modeling systems to support research projects. From November 2009 to December 2014 (5 years 2 months) Seattle, WAInformatics Systems Manager @ University of Washington Systems design & integration, implementation, and product lifecycle support of multiple commercial and open source scientific data management and analysis platforms. Successes included the development and implementation of a comprehensive data management and analytics system (Labkey Server) for use on an $18 Million NIAID contract using systems biology approaches to study highly pathogenic viruses. Deployment of cloud computing resources utilizing Amazon’s EC2, S3, and Elastic MapReduce technologies to offload computationally intensive development and analysis workloads from existing server assets. Directed the activities and projects of systems administration, technical support, and informatics specialists (3 direct reports). From July 2006 to November 2009 (3 years 5 months) Seattle, WAIndependent Consultant @ Self Employed Lead Solutions Architect - Science Ops, Bothell WAScientific code development, optimization, validation, and systems design services for a wide range of scientific disciplines and computational architectures. Projects included: development and optimization of optical motor vehicle registration identification system; development of rule based decision support system for hazardous cargo container transport; high performance unsupervised machine learning library design for life science instrumentation; high performance bond pricing and arbitrage identification algorithms; optimization of DNA sequence processing and data management system; statistical & predictive modeling for equestrian sports book; development of quantile based consumer behavioral categorization algorithms for online marketing.Project Consultant - NSE Composites, Seattle WAWork included designing parametric and generative structural models for analysis and post-processing programs. Work also included developing automated statistical analysis and predictive model development focused on characterizing 787 composite fuselage strength and damage tolerance.Project Manager - Airbus UK, Bristol EnglandProject manager and lead developer of engineering expert systems for A380, and A400M wing box rib automated NC program generation. Project entailed developing a comprehensive and flexible airframe structural feature recognition engine and applying optimized knowledge/rule driven machining strategies for component manufacturing. From August 2001 to July 2006 (5 years) Lead Software Engineer @ Avolo.com Product development lead responsible for planning, resource management, code development, and customer coordination of B2B e-commerce applications targeted to the aircraft aftermarket industry. This included developing both internal and cross partner systems integrations to facilitate e-commerce and data exchange. From March 2000 to August 2001 (1 year 6 months) Seattle, WASpecialist Engineer @ Boeing Knowledge Based Product Definition Division. Responsible for the design, implementation, and support of knowledge based computer applications, decision support systems, and process automation systems. Typically these were high impact cost saving initiatives where the merging of systems and process integration strategies along with rule/knowledge based applications led to significant savings in either direct labor or cycle time costs. Work was performed in small agile teams with shared responsibilities for all aspects of product lifecycles. From February 1998 to March 2000 (2 years 2 months)

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