Summary
Shawn Matott is a lead software engineer and computational scientist with 11+ years applying high-performance and parallel computing to mission-critical problems in defense, research, and environmental modeling. He blends deep numerical modeling and uncertainty/sensitivity analysis expertise with hands-on systems engineering—ranging from MPI/OpenMP/CUDA clusters to real-time embedded systems at Northrop Grumman. Skilled across Python, R, C/C++, Fortran and ML frameworks, he reliably translates complex models into production-ready tools and trains teams to use them. His background spans academic research (PhD) and applied engineering, including building MPI-parallel optimizers and integrating heterogeneous cluster management with PXE and job schedulers. Known for clear communication to non-technical stakeholders, he often bridges the gap between cutting-edge simulation methods and operational deployment. Based in Buffalo, NY, he combines a rare mix of scientific rigor, low-level networking/socket experience, and practical embedded systems delivery.
11 years of coding experience
19 years of employment as a software developer
Ph. D, Civil, Structural and Environmental Engineering, Ph. D, Civil, Structural and Environmental Engineering at University at Buffalo
B.Sci, Computer Engineering (Mathematics Concentration), B.Sci, Computer Engineering (Mathematics Concentration) at Clarkson University