Haydn Jones
PhD Candidate
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolHaydn Jones is a PhD candidate and machine learning researcher with nine years of experience focused on the trustworthiness and reliability of neural networks, currently at Los Alamos National Lab and pursuing a PhD at Penn. His work spans uncertainty quantification, representation learning, Bayesian optimization, and out-of-distribution detection, with hands-on projects comparing robust and non-robust representations across architectures. He combines rigorous technical research with interests in practical ethics, non-anthropocentric intelligence, and the philosophical implications of AGI, bringing a broader conceptual lens to applied ML problems. Past roles include parallel computing and numerical modeling for geoscience applications, reflecting a knack for scaling algorithms and translating theory into domain-relevant tools. Outside research he balances abstract inquiry with outdoor pursuits like mountain biking and hiking, which he credits for sustaining creative problem solving.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at New Mexico Institute of Mining and TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Pennsylvania
Github Skills (112)
python10
metadata10
deep-learning10
gpu10
crf10
numpy10
ai10
neural-network10
lightning10
artificial-intelligence10
callable10
pytorch10
equinox10
lifecycle10
pdf10
Programming languages (10)
Github contributions (5)
TheFutureGadgetsLab/PettingZoo
Oct 2018 - Sep 2021
Implementation of various ML algorithms learn how to play a simple game.
Contributions:257 commits, 10 PRs, 187 pushes in 2 years 11 months
pythonml-algorithmsmachine-learningpredictions
haydn-jones/Advent-of-Code
Dec 2020 - Dec 2021
Contributions:46 commits, 36 pushes, 4 branches in 1 year
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