Summary
Giulia D'angelo is an assistant professor and Marie Skłodowska-Curie–funded researcher with eight years of experience designing bioinspired vision and neuromorphic algorithms for real-time, low-power robotics. With a PhD from The University of Manchester and dual Master’s training in Neuroengineering and Computer Vision, she has developed event-driven visual-attention models for the iCub humanoid and implemented spiking architectures on platforms like SpiNNaker and Loihi. Her ENDEAVOR project focuses on end-to-end spiking pipelines for embodied object perception, bridging theoretical neuro-inspired principles with hands-on robotic deployment. Previously she combined industry-grade software engineering and safety-critical verification with cutting-edge research at IIT, showing rare fluency across cloud services, middleware, and neuromorphic hardware. Beyond research, she co-founded the Brains&Machines podcast and serves as an editor and young ambassador promoting women in technology, reflecting a commitment to outreach as well as technical innovation.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Manchester
Diploma Scientifico, Computer and Information Sciences, General, Diploma Scientifico, Computer and Information Sciences, General at Istituto Tecnologico Italo Calvino
Master's Degree, Neuroengineering, 110/110 cum laude, Master's Degree, Neuroengineering, 110/110 cum laude at University of Genoa
Master's Degree Thesis, Computer Vision, Master's Degree Thesis, Computer Vision at King's College London
English, Italian