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tspugh/README.md

Thomas Pugh

Mathematics master’s student exploring scientific computing, machine learning, and quantum algorithms.

I’m interested in how mathematical models become computational experiments, especially in dynamical systems, molecular science, and probability.

Selected work

  • Polymer property prediction — experimental graph neural networks and hierarchical reasoning for molecular property prediction.
  • Curie — a prototype for agent-assisted drug-coverage negotiation and smart-contract escrow on Somnia.
  • Neural cellular automata — a PyTorch experiment that grows the Critically Thomas wordmark from a single live cell.

Currently learning

Quantum computing and probability: worked learning notebooks on Bell states, modeled noise, Poisson rewards, and Monte Carlo sampling. Quantum state preparation and amplitude estimation are planned next steps.

Writing

I write about mathematics, computing, and other interests at Critically Thomas.

Pinned Loading

  1. curie-coding-blockchain-app curie-coding-blockchain-app Public

    Experimental drug-coverage arbitration on Somnia, with agent-assisted decisions, Solidity escrow contracts, and a React demo.

    TypeScript 1

  2. chem-properties chem-properties Public

    Polymer property prediction: Thomas Pugh’s KMeans HRM experiments, GIST models, and reproducible Kaggle notebooks.

    Jupyter Notebook

  3. critically-thomas-experiments critically-thomas-experiments Public

    Computational experiments for Critically Thomas, starting with a PyTorch neural cellular automaton that grows a wordmark.

    Python