Niall Jeffrey
Senior Research Fellow at Calda AI
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolNiall Jeffrey is a senior research fellow based in London who bridges cosmology, statistics and machine learning with a decade of research experience. He holds a PhD in Physics from UCL and an MSci in Theoretical Physics from Imperial College, and has held research positions across UCL and École normale supérieure while contributing industry-facing work as Chief Scientist at Calda AI. His background spans theoretical work—such as algorithmic approaches to causal sets and space-mission software testing—to applied statistical modeling and ML-driven cosmological inference. He also writes about science, having served as an ABSW Media Fellow, which sharpens his ability to communicate complex ideas to broader audiences. Notably, he combines deep theoretical insight with practical engineering experience, moving between academic publications and startup product directions. Based in London, he is comfortable translating abstruse physics problems into statistically rigorous, machine-learning-enabled solutions.
10 years of coding experience
MSci, Theoretical Physics, 1st Class, MSci, Theoretical Physics, 1st Class at Imperial College LondonUniversity College London
Github Skills (34)
routines9
sampling9
estimate9
density-estimation9
bayesian8
simulations8
random-walk8
cosmology8
deep-learning5
astrophysics5
inference5
machine-learning5
propagation4
wavelet4
python3
Programming languages (3)
Github contributions (5)
NiallJeffrey/MomentNetworks
Sep 2020 - Aug 2022
Contributions:74 commits, 54 pushes, 1 branch in 1 year 11 months
NiallJeffrey/BornRaytrace
Jun 2020 - Sep 2022
BornRaytrace: simulating weak gravitational lensing effects
Contributions:68 commits, 30 PRs, 80 pushes in 2 years 4 months
gravitationalgravitational-lensingweak
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