Summary
Michael Sandborn is a Ph.D. computer scientist and co-founder with eight years of experience applying AI to systems security, cyber-physical systems, and finance—spanning patented anti-counterfeiting hardware, evasive malware analysis, and LLM-driven trading systems. His research-driven engineering blends AI-assisted binary reverse engineering for embedded platforms (including satellites) with design-space optimization for multi-terrain autonomous vehicles. He completed a Baseball-schooled undergraduate double major in Computer Science and Applied Mathematics at Vanderbilt and finished his Ph.D. there in 2024, co-advised by Drs. Jules White and Kevin Leach. Beyond research and startups, he communicates technical ideas as host of the GRASP Podcast and has a track record of shipping applied tools and prototypes across academia, industry, and assistive-tech nonprofits.
7 years of coding experience
7 years of employment as a software developer
Jesuit High School of Tampa, FL
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Vanderbilt University
Spanish, English, Greek