Summary
Justin Davis is a PhD student and graduate research assistant at the Colorado School of Mines with nine years of engineering experience focused on embedded and autonomous systems, computer vision, and hardware-accelerated machine learning. He designs and evaluates multi-accelerator DNN pipelines and robot planning systems, maintaining lab infrastructure from server-grade rigs to NVIDIA Jetson, Xilinx Kria, and Google Coral devices. Justin combines hands-on system design—specifying cost- and maintainability-conscious workstations—with experiment-driven analysis of energy, latency, and throughput for real-world CV and robotics workloads. He also teaches heterogeneous computing and operating systems topics, mentoring students in CUDA, TensorRT, FPGA toolchains, and performance-oriented software. Notably, his background spans applied industry work (optimizing an analytical color sorter and mining engineering automation) through to advanced research in accelerator-aware DNN pruning and concurrent inference.
9 years of coding experience
1 year of employment as a software developer
Associate of Arts in Liberal Sciences, Associate of Arts in Liberal Sciences at University of Maine at Presque Isle
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Colorado School of Mines
High School Diploma, High School Diploma at Maine School of Science and Mathematics (MSSM)