Summary
Luke Smith is a PhD student at the Australian Institute for Machine Learning with 12 years of experience blending electrical engineering, physics, and applied control systems to develop next-generation bionic implants and robotic prosthetics. Driven by a childhood goal to restore sight, hearing, and mobility, he has pursued interdisciplinary research across neuroscience, optics, and control theory, and has hands-on experience designing fuzzy logic controllers and optimisation routines. His background includes practical roles at Defence Science and Technology and leadership in university engineering initiatives where he coordinated large tutor cohorts and managed club finances and grants. Luke is comfortable communicating technical results to diverse audiences—having presented optimisation work to large peer groups—and thrives in collaborative teams that cover his weaker areas. Based in Australia, he pairs rigorous academic training with a practical, mission-driven focus on turning lab concepts into life-changing devices.
12 years of coding experience
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at University of Adelaide