Cirriculum Vitae
An overview of my education, career, skills, and publications.
Alex Salce
Education
- M.S. in Statistics and Data Science, University of Arizona, December 2024 (expected)
- Certificate in Statistics and Data Science, University of Arizona, 2023
- B.S. in Engineering Mathematics, University of Arizona, 2011
Work experience
Aerospace
- Principal Electrical Engineer (Q1 2024-PRESENT)
- SME, electrical interconnect modeling
- Guidance electronics hardware common test equipment design and electrical architecture
- Test equipment design for FAA approved flight applications
- Senior Electrical Engineer (Q4 2018 - Q4 2023)
- Team lead for major program electrical harness and interconnect design
- Test equipment lead for Advanced Technologies program
- Systems Test Directorate representative for enterprise level Model Based Systems Engineering electrical design tool trade study
- Test equipment design lead for Captive Flight Test with successful flight data collection
- Developed interactive Mass, CG, MOI test error analysis tool for proprietary measurement system to estimate measurement uncertainty given an unit's mass properties
Automotive
- Senior Engineer (2018)
- Supported product integration of third party suspensions with vehicle platform
- Design Engineer II (2015 - 2018)
- Developed company driveline balance specification leveraging findings from work in company T10 quality issue response team alongside suppliers and third party Engineering teams
- Developed tools using phasor universal joint calculation principles that provided high accuracy analysis of driveline performance for any input vehicle specification and driveline layout
- Integrated calculations with automated tools to analyze any desired number of vehicle specifications in company database
- Design Engineer I (2013 - 2015)
Optimized automated BOM generation for variable harness lengths within common product database tool, reducing custom engineering work for variable components by 13% of total production volume
Skills
Expert
- Electrical interconnect modeling SME
- Siemens Capital Suite, Microsoft Office
Strong
- Python, R & RStudio, MATLAB, LaTeX
Working knowledge
- HTML/CSS/Javascript, general frontend
- Mentor DxDesigner, PTC Creo Tools, Rhapsody, DOORS, Siemens NX, COMSOL
ML techniques
- LDA, Logistic Regression, SVM, KNN
- Trees, Random Forest, Bagging and Boosting
- Clustering
- Neural Networks
ML Optimization
- GD, SGD, SVRG, SARAH(+), ADAM(+)
Publications
Jiao, Y., Salce, A., Ben, W., Jiang, F., Ji, X., Morey, E., & Lynch, D. C. (2011). Siemens and siemens-like processes for producing photovoltaics: Energy payback time and lifetime carbon emissions. JOM, 63, 28–31. https://api.semanticscholar.org/CorpusID:137367977
A detailed résumé or CV can be provided upon request.