Matt Ellis is a Machine Learning Engineer and Lecturer in Machine Learning at the University of Sheffield with 11 years of experience bridging academic research and applied ML. He holds a PhD in Physics from the University of York and has deep strengths in mathematical modeling, computational physics, and scientific programming using Python, C++ and Fortran. As a former postdoctoral researcher, he combines rigorous experimental design and modeling intuition with practical ML deployment and teaching. Based in Sheffield, he excels at translating complex physical systems into reproducible ML solutions and mentoring the next generation of data scientists. An atypical blend of high-performance scientific coding and classroom experience makes him effective at both research-led innovation and production-ready engineering.
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