Paul Morrison
Software Engineering Manager at Carbon Lighthouse- Claim this Profile
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Topline Score
Bio
Credentials
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Managing an Agile Team
CourseraJun, 2018- Nov, 2024 -
Testing with Agile
CourseraJun, 2018- Nov, 2024 -
Running Product Design Sprints
CourseraApr, 2018- Nov, 2024 -
Getting Started: Agile Meets Design Thinking
CourseraMar, 2018- Nov, 2024 -
Analytics Engineer
GE AviationOct, 2016- Nov, 2024 -
Machine Learning for Data Analysis
Coursera Course CertificatesFeb, 2016- Nov, 2024 -
Regression Modeling in Practice
Coursera Course CertificatesDec, 2015- Nov, 2024 -
Data Management and Visualization
Coursera Course CertificatesOct, 2015- Nov, 2024 -
Six Sigma - Greenbelt
GE AviationJan, 2014- Nov, 2024 -
Private Pilot
Federal Aviation Administration
Experience
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Carbon Lighthouse
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United States
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Technology, Information and Internet
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1 - 100 Employee
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Software Engineering Manager
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Mar 2020 - Present
- Led a cross functional team of internal engineers and third party developers to specify and implement a suite of models that represented the core business logic of our software product- Empowered Model Development Engineers to achieve goals and outcomes and to deliver on product requirements- Supported technical and product roadmap development by coordinating resources to achieve product milestones- Continuously improved tools and processes necessary to execute goals in an agile team environment
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Senior Model Development Engineer
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Oct 2017 - Mar 2020
- Developed thermodynamic models to quantify the energy, environmental, and financial opportunity in energy systems- Collaborated with Software Engineers to implement complex models within the CLUES software platform- Analyzed thermodynamic and energy data with users to determine the governing relationships of complex systems- Identified data requirements that balanced model accuracy with model development timeline limitations
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GE Aerospace
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United States
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Aviation and Aerospace Component Manufacturing
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700 & Above Employee
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Lead Systems Engineer
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Aug 2016 - Oct 2017
Engine Systems & Performance- Led trade studies to optimize embedded model sensor suite for accurate engine health prognostics- Supported on-board analytics with model projection uncertainty quantification- Drove the use of physics-based class code into new product models for robustness and accuracy- Introduced collaborative software development practices including Git version control and code review
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Systems Engineer
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Dec 2014 - Aug 2016
Engine Systems & Performance- Developed a neural network health estimator in Python with greater accuracy than legacy regression based estimators- Developed Python based data analysis and visualization applications using Matplotlib and Bokeh- Implemented a distributed simulation engine to enable high fidelity model assessment- Conducted trade studies in support of foreign military sales campaigns- Communicated effectively to customers and bridged the gap between performance and the analytics tech community
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Edison Engineering Development Program
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Jun 2011 - Dec 2014
Engine Systems & Performance- Used Gaussian Process techniques to quantify uncertainty in engine-to-data model match- Customer point of contact for aircraft/cycle model integration and performance evaluation- Real-time support of engine test facility during accelerated endurance assessment
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Engineering Intern
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May 2008 - Jun 2011
Combustion Aero Design- Conducted Monte Carlo risk assessments for new fuel nozzle designs.- Proposed a Change in Design to ease producibility and meet 4 Sigma processcapability standards- Developed a visual inspection prediction tool to quickly disposition hardware distressLarge Commercial Performance- Supported a flight test campaign on the Boeing 787 and 747-8 with datareduction and analysis
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Education
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2013 - 2015
Boston University
Master of Science (M.S.), Mechanical Engineering -
2008 - 2011
University of Cincinnati
BSME, Mechanical Engineering
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