Matthew Scalia
Human Systems Engineering Ph.D. Student
- Role
- Doctoral Researcher at Quant
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Matthew Scalia
Human factors professional and human-AI systems engineer with 10+ years of experience…
Experience
Doctoral Researcher
Aug 2022 — Present · Phoenix, AZ, US
Collaborates across disciplines to conduct mixed-methods research and develop measurement systems for human-human, human-machine, and human-AI teaming, with emphasis on trust, performance, coordination, and systems innovation in military, medical, and educational settings. Designs and executes studies by creating experimental protocols, developing subjective and objective measures, and applying advanced statistical and computational techniques. Integrates psychology, team science, and dynamical systems theory to model, analyze, and predict individual and team cognition and behavior.
Education
Ira A. Fulton Schools of Engineering at Arizona State University
Doctor of Philosophy - PhD
2022 — 2026
Ira A. Fulton Schools of Engineering at Arizona State University
Ph.D. Certificate
2022 — 2026
The Ohio State University
Bachelor of Science (B.S.)
2014 — 2018
Georgia Institute of Technology
Master of Science - M.S.
2019 — 2022
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