James Mullaney is a Lecturer and research astronomer at the University of Sheffield with 10 years' experience applying advanced statistics, Python and machine learning to large astronomical datasets. He holds a PhD in Astrophysics from Durham and has secured over £500k in grants to build Hadoop-based and ML pipelines for terabytes of survey data while supervising multiple PhD projects. His research focuses on the interplay between active galaxies and their hosts, and he has developed hierarchical Bayesian methods that properly incorporate censored data—an approach that has driven new insights from ALMA and NuSTAR observations. Recognised for exemplary teaching, he combines rigorous quantitative research with practical pipeline engineering to turn complex observational challenges into reproducible analysis workflows.
9 years of coding experience
Master of Science (MSci), Physics and Astronomy, First, Master of Science (MSci), Physics and Astronomy, First at University of Nottingham
PhD, Astrophysics, PhD, Astrophysics at Durham University
Contributions:207 commits, 39 PRs, 154 pushes in 2 years 5 months
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James Mullaney - Lecturer at The University of Sheffield