Summary
Dexter Shepherd is a PhD researcher and doctoral tutor specialising in bio-inspired machine learning for tactile sensing and resilient robotic locomotion, with 11 years of hands-on experience across research, teaching, and project management. He combines embedded AI, spatiotemporal modelling, and reinforcement learning to enable robots to classify textures, navigate, and adapt gait—demonstrating that low-resolution tactile sensors can reliably inform locomotion. At the University of Sussex he has designed large-scale coursework (including coordinating the build of 200 robots), led mentor programmes, and managed logistics and budgets for education initiatives. He also coordinates AI education efforts across Africa, building partnerships with universities, governments, and traditional leaders to expand accessible AI training. Passionate about open science, he maintains open-source ML and robotics libraries and brings practical field robotics experience from projects like desert-ant navigation and 3D-printed Jetson platforms.
11 years of coding experience
3 years of employment as a software developer
A level, Computer Science, A, A level, Computer Science, A at Brighton Hove and Sussex sixth form college
Computer Science and Artificial Intelligence, Informatics, First-class, Computer Science and Artificial Intelligence, Informatics, First-class at University of Sussex