Summary
Sam Siewert is an O’Connell Endowed Professor and applied researcher with 11+ years in academia and a multi-decade background building real-time, embedded and scalable computing systems. He specializes in AI-driven sensor fusion, machine vision for UAS traffic management, and parallel/quantum approaches to high-performance computing, blending deep learning (CNNs, ViT, RNNs) with robotics and human-machine teaming. A seasoned educator, he has designed and taught courses from real-time embedded systems to GPU/CUDA parallel programming and continues to co-lead an embedded systems program at CU Boulder while holding faculty roles at Cal State Chico and past appointments at Embry-Riddle and UAA. Sam has founded and consulted through startups (Transductive, Trellis-Logic) and authored industry and Coursera materials on real-time embedded systems, signaling a habit of turning research into practical tools and curricula. His career spans mission-critical aerospace software (Spitzer telescope, JPL) to industrial firmware and storage architectures, revealing a rare combination of space-grade engineering and hands-on product delivery. Based in Chico, CA, he pairs deep theoretical work with pragmatic system-building, often exploring quantum advantage alongside classical parallel scaling.
11 years of coding experience
32 years of employment as a software developer
N/A, Astrophysics, Philosophy, N/A, Astrophysics, Philosophy at University of California, Berkeley
Ph.D., Computer Science, Ph.D., Computer Science at University of Colorado Boulder
BS, Aerospace and Mechanical Engineering, BS, Aerospace and Mechanical Engineering at University of Notre Dame
N/A, Computer System Design, N/A, Computer System Design at University of Houston-Clear Lake
German, French