Neel Alex
Doctoral Student at University of Cambridge
Cambridge, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolNeel Alex is a PhD student in AI at the University of Cambridge with 11 years of engineering and research experience focused on building trustworthy, broadly beneficial AI systems. His work spans probabilistic machine learning, deep reinforcement learning in sequential environments, and investigating failure modes from misspecified reward functions, informed by impactful internships at Ought, CHAI, and industry roles. He combines rigorous research with practical engineering—shipping monitoring tools, blockchain-backed web apps, and full-stack policy databases—and contributes to prominent open-source projects like Turing.jl by improving documentation and developer workflows. Comfortable leading end-to-end projects, Neel also brings a multidisciplinary curiosity (from algorithm design to piano and tabletop RPGs) that fuels creative problem-solving and effective collaboration.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at University of California, BerkeleyDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Cambridge
Github Skills (5)
probabilistic-programming10
julialang10
documentation10
julia10
bayesian-inference9
Programming languages (7)
Github contributions (5)
TuringLang/Turing.jl
May 2016 - Jan 2023
Bayesian inference with probabilistic programming.
Role in this project:
Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:30 releases, 100 reviews, 739 commits in 6 years 9 months
Contributions summary:Neel primarily updated and created documentation files within the repository. The contributions included creating a "Getting Started" guide, documentation for samplers and components, and general improvements to the index and workflow documentation. Additionally, there were some small code changes, including fixing a typo and updating build files.
julia-languagebayesian-inferencebayesian-methodsbayesian-neural-networkshamiltonian-monte-carlo
TuringLang/AdvancedPS.jl
May 2016 - Jan 2023
Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
Contributions:60 reviews, 55 commits, 44 PRs in 6 years 9 months
particleparticle-mcmcparticle-filterstochastic-processesmonte-carlo
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.