Jenning Lim

Machine Learning Scientist at Relation

London, England, United Kingdom
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Summary

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Senior
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Jenning Lim is a Machine Learning Scientist with nine years of experience bridging rigorous statistical research and applied ML in industry and academia. Currently based in London and completing a PhD in Statistics at the University of Warwick, Jenning focuses on kernel methods, model testing and criticism, and approximate Bayesian inference, bringing strong theoretical depth to practical problems. His background includes applied roles and fellowships at Relation, Amazon, The Alan Turing Institute, and research stints at Max Planck and Kyoto University, reflecting a pattern of translating research into real-world systems. He holds an MSc in Data Science and Machine Learning (Distinction) from UCL and a First Class BSc in Mathematics and Computer Science from Bristol, underscoring a solid quantitative foundation. Notably, Jenning combines classical statistical perspectives with modern ML tooling, making him adept at diagnosing model failure modes and building robust, interpretable solutions.
code9 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science (BSc), Mathematics and Computer Science, First Class, Bachelor of Science (BSc), Mathematics and Computer Science, First Class at University of Bristol
bookDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Warwick
bookUniversity College London
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Stackoverflow

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Github Skills (13)

goodness-of-fit9
barcode-scanner8
kernel-methods7
statistical-tests7
android6
particle6
model-comparison5
kernel4
python4
machine-learning3
pytorch3
scalable3
jax1

Programming languages (3)

JavaJupyter NotebookPython

Github contributions (5)

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NeurIPS 2019. Kernel Stein Tests for Multiple Model Comparison.
Contributions:16 commits, 5 PRs, 20 pushes in 4 months
kernelmodel-comparison
Contributions:5 commits, 4 pushes, 1 branch in 9 months
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