Christopher Nemeth

Co-Director Data Science Institute

Lancaster, England, United Kingdom
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Summary

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Senior
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Top School
Christopher 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.
code11 years of coding experience
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at The University of Manchester
bookDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Lancaster University
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Github Skills (33)

markdown10
gaussian-processes10
jekyll10
meta-tags10
gaussian10
julia10
metadata9
github-pages9
gitpod9
python8
deep-learning8
machine-learning8
data-science7
markov-chain6
monte-carlo5

Programming languages (6)

JuliaCSSTeXJavaScriptJupyter NotebookPython

Github contributions (5)

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STOR-i/sgmcmc

May 2017 - Nov 2020

Contributions:13 commits, 10 pushes, 1 branch in 3 years 5 months
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:8 PRs, 182 pushes, 7 branches in 1 year 6 months
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