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About

Peter J. Thomas is a computational neuroscientist and applied mathematician whose research sits at the fascinating intersection of control theory, biological locomotion, and neural dynamics. His most influential contribution, "Control Theory in Biology and Medicine" (2019), has garnered 28 citations and establishes him as a significant voice in applying rigorous mathematical frameworks to understand how living systems regulate themselves — work with broad implications for both medicine and robotics. Thomas has extended this foundation into cutting-edge investigations of bio-inspired robotics, developing synthetic nervous systems capable of controlling peristaltic locomotion through coupled oscillators, reflecting a deep commitment to translating biological principles into functional engineering solutions. His work on analytically computing infinitesimal phase response curves offers roboticists precise mathematical tools for movement coordination, while his GymSlug project demonstrates a forward-thinking embrace of deep reinforcement learning, drawing inspiration from the remarkably tractable nervous system of *Aplysia californica*. Together, these contributions paint a portrait of a researcher who bridges theoretical elegance with practical innovation, making him a compelling figure for students interested in computational biology, neural engineering, or bio-inspired robotics.