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🌱 Programming languages that I work with: Julia (also did the Google Summer of Code 2020 with the Turing team of the Julia Language Organization), Python, and R (created the R Development Guide)
In this Google Summer of Code program I, along with my mentors, aimed to build the polychord nested sampling algorithm and integrate it with Turing using Julia Language. The version 0.5.0 release of [NestedSamplers.jl](https://github.com/TuringLang/NestedSamplers.jl) has our work done, to date, included. This would allow users to use the random staggering, slicing and random slicing (or polychord) proposal alogrithms in NestedSamplers.jl. Much of this work was inspired by [dynesty](https://github.com/joshspeagle/dynesty) and its modular approach to nested sampling, which Julia’s multiple dispatch made even more effective. The majority of the code for the proposal algorithms has already been merged to NestedSamplers.jl. One of the major improvements which would greatly increase its usage would be merging [ns.jl](https://github.com/TuringLang/Turing.jl/pull/1333) with [Turing.jl](https://github.com/TuringLang/Turing.jl) package.
