Jason Wyse
Assistant Professor Statistics
Ireland
Summary
👤
Senior🎓
Top SchoolJason Wyse is an Assistant Professor of Statistics at Trinity College Dublin with a decade of teaching and nine years of focused research experience in computational statistics. He develops high-performance statistical software—authoring R packages and coding in R and C with additional C++ and Fortran expertise—to advance Bayesian methods, simulation-based inference, and machine learning. His research spans networks, independent component analysis, and model selection with practical applications in biomedical imaging and astronomy, where he tackled large-scale spatial models. He supervised student projects across mathematics and management science curricula and brings hands-on experience implementing bespoke greedy search and Hamiltonian Monte Carlo algorithms. From 2016–2021 he served as an Associate Editor for the journal Statistics and Computing, reflecting his influence on the computational statistics community. Colleagues describe him as a pragmatic methodologist who pairs theoretical insight with production-ready software.
9 years of coding experience
3 years of employment as a software developer
Mathematical Science, Mathematics, Mathematical Physics, Statistics, 1st Class Honours, Mathematical Science, Mathematics, Mathematical Physics, Statistics, 1st Class Honours at University College Dublin
English, German
Github Skills (2)
adobe-experience-manager6
aem6
Programming languages (1)
Github contributions (5)
jsnwyse/BayesLCA
Sep 2020 - Mar 2022
Development update for BayesLCA
Contributions:8 commits, 110 pushes, 3 branches in 1 year 6 months
adobe-experience-managerupdateaem
jsnwyse/HealR
Mar 2019 - Jan 2021
Contributions:12 pushes, 1 branch in 1 year 10 months
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