Rupert Tombs
Senior Machine Learning Researcher at Monumo
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolRupert Tombs is a Senior Machine Learning Researcher based in Cambridge with nine years’ experience applying statistical and ML methods to high-stakes scientific and commercial problems. He holds a PhD in Physics from the University of Cambridge where he designed and executed novel searches for electroweak supersymmetry and developed self-supervised methods to probe symmetries in collider data. At Monumo he progressed from researcher to senior researcher, translating probabilistic inference and deep learning into production-ready solutions. His background blends rigorous theoretical training (MPhil prizewinner) with data-intensive finance internship experience, reflecting a pragmatic aptitude for optimization and factor modelling. Colleagues describe him as intellectually curious and philosophically minded about software design and data provenance, often framing engineering trade-offs through a Bayesian lens.
9 years of coding experience
6 years of employment as a software developer
Master of Philosophy - MPhil, Physics, 1st (80%+), Franz Mandl prize for theoretical physics, Master of Philosophy - MPhil, Physics, 1st (80%+), Franz Mandl prize for theoretical physics at The University of ManchesterDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of CambridgeThe Cherwell School
Github Skills (48)
rust-lang10
static-code-analysis10
programming-language10
assembly10
static-analysis10
python10
ruff10
browser10
go10
preprocessor10
linter10
compiler10
swift10
rust10
cpp10
Programming languages (8)
Github contributions (5)
Rupt/interval-evidence
May 2022 - Oct 2023
Contributions:246 pushes, 6 branches, 1 comment in 1 year 5 months
Rupt/c-arithmetic-right-shift
Aug 2020 - Aug 2021
Contributions:77 commits, 46 pushes, 1 branch in 1 year
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