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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLO

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Sahel13/README.md

Hi there!

I’m a postdoctoral researcher at the Department of Statistics at the University of Oxford. My research develops methods for reliable decision-making and inference in machine learning systems, especially in settings where models must reason under uncertainty and make effective use of computation. I work across reinforcement learning, Bayesian inference, experimental design, and Monte Carlo methods.

I'm an author and maintainer of two open-source projects:

  • cuthbert - A JAX library for inference in state-space models.
  • TestBED - A PyTorch library for developing and testing algorithms for Bayesian experimental design.

Where can I find you?

Popular repositories Loading

  1. InsideOutSMC.jl InsideOutSMC.jl Public

    Implements Inside-Out SMC^2, a nested sequential Monte Carlo algorithm developed for Bayesian experimental design in dynamical systems.

    Julia 7 1

  2. particle-pomdp particle-pomdp Public

    Code accompanying the NeurIPS 2025 paper "Sequential Monte Carlo for Policy Optimization in Continuous POMDPs".

    Python 2 1

  3. notes.nvim notes.nvim Public

    A Neovim plugin for easy note-taking in Markdown.

    Lua 2

  4. thestudentwatch thestudentwatch Public archive

    Source code for The Student Watch website.

    JavaScript 1

  5. Arch Arch Public

    Files to recreate my arch linux setup.

    Shell

  6. pruning_quaternions pruning_quaternions Public archive

    Code for my 9th semester project titled 'Neural Networks at a Fraction with Pruned Quaternions.'

    Jupyter Notebook