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kleyt0n/README.md

AI Researcher · Ph.D. Student @ UCL

Website Scholar LinkedIn Substack X

About

I'm a Ph.D. Student in Computer Science at University College London, advised by Prof. Philip Treleaven and Prof. Dimitrios Kanoulas. My research focuses on predictive safety in embodied AI — developing methods for anticipating unsafe behavior in physical and decision-making agents, so that systems acting in the real world can recognize risk before it happens rather than after.

Alongside my doctoral work, I'm an AI Researcher & Engineer at Holistic AI, where I work on the trustworthiness and reliability of AI systems. I'm also a core contributor to open-source research software spanning AI trustworthiness, optimization, computational geometry, and state-space modeling, and I write about research and ideas at The Closed Loop. I care about work that is rigorous, reproducible, and genuinely useful to the people who build on top of it.

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  1. holistic-ai/holisticai holistic-ai/holisticai Public

    This is an open-source tool to assess and improve the trustworthiness of AI systems.

    Jupyter Notebook 112 31

  2. qjax qjax Public

    Tsallis statistics for artificial intelligence, built on JAX.

    Python 1

  3. awesome-safety-embodied-ai awesome-safety-embodied-ai Public

    A collection of papers for safety in embodied AI

    2

  4. graphnetz graphnetz Public

    A benchmark whose default output is a statistical report, not a leaderboard.

    Python

  5. quant-sci/optymus quant-sci/optymus Public

    Optimization methods for science and engineering.

    Python 6 1

  6. quant-sci/compute-geometry quant-sci/compute-geometry Public

    A research-focused computational geometry library for Python.

    Python 14