Shannon Née Devlin McGarry
General Engineer at U.S. Naval Research Laboratory
- Role
- General Research Engineer at U.S. Naval Research Laboratory
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Shannon Née Devlin McGarry
A naturally driven experienced young professional with a great passion for maximizing human potential, via cognitive engineering and increasing human factors presence in domains such as military supervisory control. Recent Doctor of Philosophy graduate in Systems Engineering at University of Virginia under Dr. Sara Riggs. Calhoun Honors College Graduate of Clemson University, College of Engineering and Science with a B.S. and M.S. in Industrial Engineering. Diversified resume with both research and field experience. I am always looking for new connections so please feel free to contact me at s••••••••@gmail.com if you want to talk! I am particularly interested in better understanding how to best model human behavior over time. I am always interested in utilizing my strong educational background and excellent interpersonal communication skills in order to grow both professionally and personally.Experience working with physiological data collection and analysis, experimental design, writing and presenting research proposals, academic journal review process, Advanced experience in multilevel modeling, growth curve modeling, gaze-based analyses, and statistical analyses and programming languages (R, SPSS, JMP, Minitab), SQL, MatLab, and VBA. Also well versed in Ulrich and Eppinger product design and development methodology, Leading focus groups, Survey creation, Task analysis, Usability/UX research and design, and designing with a systems-based approach.
Experience
General Research Engineer
U.S. Naval Research Laboratory
Dec 2021 — Present · Washington, DC, US
Lead and manage multi-year research projects internal and external to NRL, produce peer-reviewed, scientific journal articles, offer consultation on human factors theory and applications, analyze data with mixed effects and longitudinal models
Education
Clemson University
Bachelor of Science (B.S.), Industrial Engineering
2012 — 2016
Clemson University
Master of Science - MS, Industrial Engineering
University of Virginia
Doctor of Philosophy - PhD, Systems Engineering
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