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Andrew McCluskey is a Lecturer at the University of Bristol, where he focuses on utilizing new mathematical modeling techniques to enhance the analysis of chemical measurements. His expertise includes statistical modeling, neutron scattering, x-ray scattering, and Bayesian analysis programming. He leads the SCAMs research group, teaching in the new MSc Scientific Computing and Data Science program. McCluskey's research aims to develop powerful analysis methods for data from experiments and simulations, which he refers to as physics-informed modeling. His work emphasizes the importance of data analysis skills in advancing fundamental chemistry and physics understanding in experimental contexts. Originally from Glasgow, McCluskey has worked and studied in various locations including Edinburgh, Connecticut, Bath, Oxford, and Copenhagen before joining Bristol in August 2023. He believes that programming, data analysis, and data management skills are critical for the future of chemists.
University of Bristol • Bristol, ENG, GB
Lecturer focusing on mathematical modeling and data analysis in chemistry.
Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.