Summary
James Loach is a physics-trained AI/ML research leader with 14 years of experience translating advanced analytics into industrial products, currently Head of Research for Siemens Senseye Predictive Maintenance. He combines deep experimental physics pedigree—from contributions to Nobel- and Breakthrough Prize–adjacent neutrino experiments—with hands-on development of anomaly detection and prognostics algorithms deployed at scale. As founder of Sinophenia he applies network theory and cognitive science to language learning, building novel spaced-repetition and text-analysis tools, demonstrating a rare crossover between cognitive modelling and engineering. His background in low-radioactivity detector engineering and custom hardware development informs a pragmatic, measurement-driven approach to research and productisation. Known for bridging academia and industry, he leads teams that move state-of-the-art models into reliable, production-ready systems.
14 years of coding experience
15 years of employment as a software developer
MPhys, Physics, 1st Class Hons., MPhys, Physics, 1st Class Hons. at University of Oxford
High School, High School at Adams' Grammar School
English, Chinese