Lee Barnby is an Associate Professor and academic physicist with over a decade of experience applying statistical modelling and machine learning to data-intensive research in high-energy nuclear collisions, primarily with the ALICE experiment at CERN. He teaches applied mathematics, modelling and statistics while supervising PhD and undergraduate projects, and brings hands-on expertise in scientific computing tools such as ROOT, R, MATLAB and GRID/batch systems. His research spans end-to-end analysis and simulation workflows, and he has held coordinating roles within international collaborations, including convening physics working groups and leading strangeness and ML efforts. Having spent extended research periods in the USA and at CERN, he combines deep domain knowledge in nuclear physics with practical software development (C++, FORTRAN) and distributed computing experience. An unusual strength is his ability to translate complex collider analyses into teachable modules for applied maths courses, bridging research and pedagogy.
10 years of coding experience
17 years of employment as a software developer
Ph.D., Nuclear Physics, Ph.D., Nuclear Physics at The University of Birmingham
B.Sc. (Hons), Physics, B.Sc. (Hons), Physics at The University of Manchester
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