Grant Fiddyment is an applied scientist and mathematical modeler with 12 years of experience building statistical models and software tools that extract insight from high-resolution camera and biological data. Currently at Cleaning the Glass he translates 3D pose tracking into basketball-relevant events and scouting metrics for NBA teams, drawing on prior R&D experience with the Philadelphia 76ers. He also teaches predictive analytics and Python at American University and brings a research background in biophysical neural modeling, seizure simulation, graph-theoretic analysis of biological networks, and image denoising. Comfortable moving between production engineering and academic collaboration, Grant blends rigorous mathematical thinking with product-focused implementation to turn complex datasets into actionable decisions. An Atlanta-based practitioner, he pairs domain knowledge of sports analytics with deep expertise in computational neuroscience—an uncommon cross-disciplinary mix that informs his approaches to modeling and signal interpretation.
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Grant Fiddyment - Applied Scientist at American University