Chris Pedersen
Member Of The Core Team, Member Of Technical Staff at Stealth AI Startup
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolChris Pedersen is an AI research scientist and core technical team member at a stealth AI startup, focused on building next-generation language models after a decade of research and engineering at the intersection of astrophysics and deep learning. He holds a PhD in astrophysics from UCL and completed postdoctoral work at NYU’s Courant Institute and Department of Physics, collaborating with the Flatiron Institute on generative models for chaotic dynamical systems and statistical approaches to cosmology. His background spans large-scale simulation management (over millions of CPU hours), Bayesian inference pipelines, HPC workflows, and production-grade ML research—skills he now applies to scaling and refining LLM architectures. Notably, his path from classics undergraduate to neutrino cosmology PhD and then to applied generative AI gives him an unusually broad analytical and interdisciplinary perspective.
10 years of coding experience
4 years of employment as a software developer
Master in Physics Physics with Astronomy, Master in Physics Physics with Astronomy at Cardiff University / Prifysgol CaerdyddCity of London School for BoysBachelor's degree Classics, Bachelor's degree Classics at Swansea UniversityUniversity College London
Github Skills (39)
simulation10
cosmology10
simulator10
simulations10
spectrum10
orbital-mechanics10
density-estimation10
astrophysics9
flux9
astrodynamics9
gaussian6
graph-convolutional-networks6
arxiv6
deep-learning6
graph6
Programming languages (5)
Github contributions (5)
Chris-Pedersen/LearnableWavelets
Nov 2021 - Oct 2022
Learnable wavelet neural networks
Contributions:215 commits, 6 PRs, 31 pushes in 11 months
waveletdeep-learningneural-networksmachine-learningneural-network
Chris-Pedersen/LIGO-Project-Codes
Feb 2017 - Apr 2018
Contributions:406 pushes, 1 branch in 1 year 2 months
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