Matthew Swarts is a multidisciplinary leader blending over a decade of research and product experience in spatial experience development, machine learning, and urban-scale decision support. As Branch Head for Machine Learning and Data Analytics at GTRI and CTO at CharaChorder, he combines hands-on systems design—from unmanned aerial mapping and IoT tracking to AR visualization and spherical panorama analysis—with program leadership that has guided 70+ product developers and taught 200+ students. His background in architecture (PhD) and deep experience with photogrammetry, real-time game engines, and microelectronics lets him translate human-centered interaction design into operational analytics and deployable tools. Notably, he pioneers perceptual evaluation techniques using spherical panoramas and deep learning to quantify place-based experience, reflecting a rare mix of spatial theory and applied AI. Based in Atlanta, he focuses on reconnecting communities through computation, spaces, and technology to improve how people design and experience their environments.
9 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Architecture, Doctor of Philosophy (PhD), Architecture at Georgia Institute of Technology
International Exchange Student, Culture and Religion, International Exchange Student, Culture and Religion at Yonsei University
Contributions:7 commits, 6 pushes, 1 branch in 4 months
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Matthew Swarts - Branch Head - Machine Learning And Data Analytics