Experience

  1. Hedrick Math Fellow

    UCLA

  2. Applications Developer

    Edinburgh Parallel Computing Center

    Responsibilities include:

    • Developed a mechanism for the automatic cleaning and ingest of NHS data into a database.
    • Supervised an MSc Project in machine learning for quantum tomography.

Education

  1. PhD Statistics and Machine Learning

    Imperial College London and The University of Oxford
    Thesis: Spectral methods for recovering latent structure in network time series. Supervised by Dr Francesco Sanna Passino, Prof. Mihai Cucuringu, and Prof. Alessandra Luati.

  2. MPhys Mathematical Physics

    The University of Edinburgh

    First Class Honours

    Courses included:

    • Quantum Field Theory, Symmetries of Particles and Fields, Gauge Theories in Particle Physics
    • Smooth Manifolds, General Relativity
    • Advanced Statistical Physics

  3. Year Abroad

    The University of California, Berkeley
Skills
Technical Skills
Python
R
SQL
Linux