Summary
Tyler Hanks is a Computer Science Ph.D. candidate and senior graduate researcher at the University of Florida’s GATAS lab, specializing in applying category theory and programming language theory to optimization, optimal control, and machine learning. With eight years of research experience including three summers at the Air Force Research Lab, he has contributed to published work on neural architecture search, combinatorial planning, and distributed first-order optimization. He writes production-oriented research code, mentors new lab members, and bridges deep theoretical concepts with practical scientific computing workflows. Based in Ocala, FL, Tyler blends formal type-theoretic thinking with hands-on machine learning experimentation, making him adept at turning abstract algebraic techniques into usable optimization tools.
7 years of coding experience
Computer Engineering, Computer Engineering at University of South Florida
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Florida
English