Summary
Daniel Mannion is a software engineer and electronic engineering researcher with 11 years' experience specializing in machine learning hardware, embedded systems, and RF/radar environments. He completed a PhD at UCL studying memristors for ML accelerators and has held research fellow and senior research associate roles at UCL and The Alan Turing Institute. Daniel blends hands-on hardware design—creating bespoke embedded electronics and cases for projects like ColaLight—with computational research, including novel work on artificial dendrites and dendritic computation. A passionate STEM educator, he designs and delivers microcontroller, programming, and cryptography workshops and has built outreach resources and blogs to broaden participation. Based in London, he pairs academic rigor with practical product-minded engineering and a track record of running cross-disciplinary teams and student societies. An intriguing thread through his career is combining low-level device physics with real-world embedded deployments to push ML closer to the hardware edge.
11 years of coding experience
9 years of employment as a software developer
High School, High School at Forest Boys
High School, Mathematics, Further Mathematics, Physics, Electronics, Computing, High School, Mathematics, Further Mathematics, Physics, Electronics, Computing at The College of Richard Collyer
University College London
English, Chinese