
Niall Jeffrey
@niall_jeffrey
Cosmology, statistics, science 🔭 at University College London (in London) and formerly at Ecole Normale Supérieure (in Paris). @absw Media Fellow. he/him.
ID: 1395369539257446403
https://nialljeffrey.github.io/ 20-05-2021 13:23:24
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Could machine learning rediscover the law of gravitation simply by observing our solar system? With our new approach, the answer is *YES*. Led by: Pablo Lemos With: Niall Jeffrey Shirley Ho Peter Battaglia Paper: arxiv.org/abs/2202.02306 Blog: astroautomata.com/paper/rediscov…

Our collaboration is having its first in-person meeting in 2.5 years this week at Duke University ! What better way to celebrate than with a dark matter map cake?


Our new paper is out — solving Bayesian model comparison with Evidence Networks: arxiv.org/abs/2305.11241 Benjamin Wandelt has an excellent summary here👇 Which of your model comparison problems do you want to solve? Let me know!

Congrats to this year's ABSW media fellows Sheri Scott Niall Jeffrey Liam Collins-Jones Enrico Mariconti Maria Paula Escobar Oksana Pyzik @tinalutomya Filipa Adzic Sarah Pitt. Supported by IBMS #AtTheHeartOfHealthcare UCL Engineering UCL Global Engagement Cambridge University & University of Bristol absw.org.uk/articles/the-c…


We're delighted to be supporting Oksana Pyzik (UCL School of Pharmacy) and Niall Jeffrey (UCL Mathematical & Physical Sciences) to gain first-hand experience of reporting at a UK-based media outlet as part of the ABSW Media Fellowship scheme 2023. Learn about our media fellows ⬇️ bit.ly/45CJmfc



Great new work by Pablo Lemos Niall Jeffrey Miles Cranmer Shirley Ho and Peter Battaglia Physics at Sussex UCL @LP_ENS_ NYU Physics Flatiron CCA Flatiron Institute CMU Physics Google DeepMind - 'Rediscovering orbital mechanics with #machinelearning' - iopscience.iop.org/article/10.108…



“You cannot believe all the things you can see” — Mark Cropper MullardSpaceScience But, a few months ago, the teams ‘were dealing with a £1 billion telescope going on the fritz when it was already a million miles from Earth…’ ABSW @uclglobal ESA's Euclid mission thetimes.co.uk/article/euclid…


Abstract submission is now closed, bur registration is still open for our April meeting on Simulation Based Inference for Galaxy Evolution - come join us in Bristol! sbi-galev.github.io/2024/ Sotiria Fotopoulou


A team led by Dr Niall Jeffrey UCL Mathematical & Physical Sciences has used AI techniques to double the precision of dark energy inference from the Dark Energy Survey mass map – a map of the large-scale structures of the Universe going back seven billion years ucl.ac.uk/news/2024/mar/…
