Summary
Hyatt Moore is a research professor and engineer with 13 years of experience building machine learning and signal-processing solutions for sleep research, childhood obesity studies, and opto-electronics. He combines a Stanford PhD in Electrical Engineering with hands-on R&D work—developing end-to-end NGS pipelines, polysomnography ingest and analysis systems, and embedded data-loggers and GUIs for sensor hardware. A former Naval Information Warfare officer, he brings disciplined systems thinking to interdisciplinary teams at Stanford, Maple Leaf Photonics, and the Naval Postgraduate School. He also teaches and mentors across universities and community colleges, translating advanced algorithms into practical coursework and student projects. Notably, his background spans both high-throughput biomedical data workflows and real-time device software, enabling translational research from lab bench to deployed instrumentation.
12 years of coding experience
6 years of employment as a software developer
BS, Computer Science, with merit, BS, Computer Science, with merit at United States Naval Academy
Master's Degree, (1) Electrical Engineering and (2) Computer Science, with distinction, Master's Degree, (1) Electrical Engineering and (2) Computer Science, with distinction at Naval Postgraduate School
Doctor of Philosophy (PhD), Electrical Engineering, Graduate School of Engineering, Doctor of Philosophy (PhD), Electrical Engineering, Graduate School of Engineering at Stanford University
java, c/c++, matlab, python, php