Christopher Nemeth
Co-Director Data Science Institute
Lancaster, England, United Kingdom
Summary
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Senior🎓
Top SchoolChristopher Nemeth is a Professor in Probabilistic Machine Learning and Co-Director of the Data Science Institute at Lancaster University, with 11 years of academic experience bridging Bayesian machine learning and computational statistics. He leads a UKRI-EPSRC Turing AI Fellowship (PASCAL) focused on probabilistic, scalable algorithms and previously held an EPSRC Innovation Fellowship addressing security and location-data challenges. His work centres on MCMC, SMC, Gaussian processes and statistical network modelling, with a current emphasis on gradient flow methods to develop scalable optimisation and sampling algorithms for large datasets. Based in Lancaster and grounded in a PhD in Statistics, he combines deep theoretical expertise with applied problem solving, notably pushing computable approaches that balance exactness and scalability.
11 years of coding experience
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at The University of ManchesterDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Lancaster University
Github Skills (20)
gaussian-processes10
julia10
markdown9
jekyll9
html8
jekyll-theme8
github-pages8
machine-learning8
r7
mcmc7
bayesian-inference4
algorithms3
inference2
hierarchical2
jax2
Programming languages (8)
Github contributions (5)
chris-nemeth/chris-nemeth.github.io
Jan 2023 - Jul 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:8 PRs, 182 pushes, 7 branches in 1 year 6 months
chris-nemeth/pseudo-extended-mcmc-code
Aug 2017 - May 2020
Contributions:29 commits, 25 pushes, 1 branch in 2 years 9 months
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