Summary
Sam Ogden is an Assistant Professor and researcher with nine years of experience focused on making deep learning practical on resource-constrained mobile devices. He combines a strong engineering background from industry roles at IBM and GLOBALFOUNDRIES in ASIC verification with a rigorous PhD-level research approach to bounding latency, improving accuracy, and optimizing resource utilization for on-device inference. Sam’s work uniquely considers both per-request and aggregated-request perspectives to deliver solutions that are fast, reliable, and seamless for developers and users. Based in the United States, he translates systems-level constraints into deployable ML optimizations and brings hands-on tool development experience in Python and C to bridge research and production.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Vermont
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Worcester Polytechnic Institute
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Worces
English