Niall Jeffrey
AI Academic Senior Fellow at Calda AI
London, England, United Kingdom
Summary
👤
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, MSci Theoretical Physics at Imperial College LondonUniversity College London
Github Skills (26)
routines9
cosmology9
simulations9
density-estimation9
python8
random-walk8
astronomy8
astrophysics7
large-scale7
tensorflow7
deep-learning7
scale6
inference6
wavelet6
mpi4py3
Programming languages (3)
Github contributions (5)
NiallJeffrey/DeepMass
Nov 2018 - Nov 2021
Cosmological map inference with deep learning
Contributions:209 commits, 8 PRs, 66 pushes in 3 years
deep-learninginferencetensorflowpythoncosmology
NiallJeffrey/MomentNetworks
Sep 2020 - Aug 2022
Contributions:74 commits, 54 pushes, 1 branch in 1 year 11 months
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