cv

Basics

Name Tom Hardy
Email tom at hardymusic dot co dot uk
Url hardymusic.co.uk
Summary Final-Year Durham MPhys (w/Astronomy) Student. Award-Winning Composer & Arranger.

Work

  • Jun.25 - Aug.25
    Summer Research Intern (Astronomy)
    Institute of Astronomy, Cambridge University
    Simulation-based-inference neural network engineering for detector noise characterisation on GW detectors. Developed neural networks to process complex frequency-domain gravitational wave data and detect both localised and model-wide distortions within a frequentist statistical framework. Use of torch, jax, ripple, jimgw and multiprocessing to carry out high-performance GPU computing. Following my end-of-project presentation I was invited back to speak at the IoA's 30-year anniversary event, alongside Prof Nikku Madhusudhan and Dr Will Handley. Supervised by Dr James Alvey
  • Jul.24 - Aug.24
    Summer Research Intern (Astrophysics)
    Department of Physics, Oxford University
    Research Intern in Hintze centre for Astrophysical Surveys/Galaxies sub-group. I built Catherine Hale and Matt Jarvis' PHiSEP, a neutral hydrogen source extraction pipeline using Aaron Robotham's ProFound. The project was initally designed to evaluate the effectivity of segmentation extractors on HI-datacubes, and led to the development of an MPI-enabled HPC pipeline (using python and R) for MIGHTEE-HI/COSMOS, and simulated SKA data. Attended the Breakthrough Discuss and Steven Balbus conferences. Supervised by Dr Catherine Hale, Dr Anastasia Ponomareva and Prof Matt Jarvis.
  • Jul.23 - Aug.23
    Summer Research Intern (LLMs)
    Department of Physics, Durham University
    A comprehensive statistical investigation into the power of non-specialist Large Language Models (and prompting technique) on GCSE, A-, and University levels, with the intent of creating deep learning-ready database for LLM training . The project involved use of python regex infrastructure to transcribe large PDF data (for analysis); large scale non-numerical data storage; and GPT-API usage. Submitted to the Journal of Physics Education in mid 2023 and published in early 2024; this project also led to a current Laidlaw Scholarship project utilising the data to train specialist GPTs. Supervised by Dr Will Yeadon

Education

  • 2022.09 - 2026.06

    Durham, Co. Durham, UK

    MPhys (FF3N)
    University of Durham
    Physics with Astronomy. Triple 1st Class: 4th Year In Progress.
    • Thesis: Identifying Extreme Emission Line Galaxies (EELGs) from VLT MUSE observations.
    • Fourth Year (In Progress). Courses: Radiative Astrophysics, Advanced Instrumentation, Theoretical Cosmology, General Relativity, Quantum Computing,
    • Third Year (1st Class). Courses: Statistical Physics, Solid State Physics, Soft Matter, Symmetry and Excitations, Broken Symmetry, Exoplanets, Cosmology, Particle Physics, Advanced Quantum Mechanics
    • Second Year (1st Class). Courses: Classical Electromagnetism, Quantum Mechanics, Quantum Theory, Theoretical Classical Mechanics, Optics, Solid State Physics, Stellar Structure, Galaxy Morphology & Evolution, Instrumentation, Differential Equations, Vector Calculus
    • First Year (1st Class). Courses: Special Relativity, Optics, Electromagnetism, Classical Mechanics, Introduction to Quantum, Introduction to Cosmology, Celestial Astronomy and the Solar System, Introduction to Galaxy evolution, Real Analysis, Linear Algebra, Vector Calculus, Differential Equations, Group Theory
  • 2015.09 - 2022.06

    High Wycombe, Bucks, UK

    A-Levels and GCSEs
    John Hampden Grammar School
    A*A*A*A*A*:Maths, Physics, Further Maths, Music, EPQ. All 11 GCSEs at Grade 9
    • Nationally-Leading A-level and GCSE results (max score)
    • Founding President of JHGS' Mathematical Society
    • Deputy Head Boy

Volunteer

  • 2024.09 - Present

    Durham, Co. Durham, UK

    Music Director: DUBB
    Department of Performing Arts
    Director of the Nationally-Leading Durham Unviersity Big Band; the most competetive Durham instrumental ensemble.
    • 2024-5 National Tour: Unspoken Voices. Awarded Full Palatinate for Outstanding Achievement in Music for directing the tour
    • 2025-6 National Tour: A-That's Freedom!
  • 2023.09 - 2024.06

    Durham, Co. Durham, UK

    Music Director: DUJO
    Department of Performing Arts
    Director of the Durham University Jazz Orchestra. 2023-4 Programme: A Night in New York.
  • 2022.09 - 2023.06

    Durham, Co. Durham, UK

    Creative Director: DU Jazz Society
    Department of Performing Arts
    Coordinated the Sunday Night Jazz Jam each week (attended by ~200 each night). Produced and arranged for JazzSoc gigs throughout the year.
  • 2022.09 - Present

    Durham, Co. Durham, UK

    SVC Co-Chair and BoS Rep
    Department of Physics
    Co-Chair (with Prof Alis Deason) of the department's Staff-Student Consultative Committee managing 10-20 student representatives each year. Representative of the commitee to the department's Board of Studies, chaired by Prof Paula Chadwick. I have helped give the Introduction to the Physics Department lecture for 2023,2024 and 2025.

Awards

  • 2025.07
    Florence Nightingale Award
    Department of Physics, Durham University
    Award for Graphical Excellence in laboratory reports: awarded to a single student in each year. Nominated for my Astrolab report: A Comprehensive Photometric Model for the Contact Binary GW-CEP
  • 2025.06
    Full Palatinate
    Department of Performing Arts, Durham University
    Awarded for Outstanding Achievement in Music for my 2024-5 DUBB Tour: Unspoken Voices.
  • 2023.07
    Module Award: 1st Year Laboratory
    Department of Physics, Durham University
    Awarded for highest mark in the year for 1st year laboratory.

Publications

  • 2024.02.06
    The Impact of AI in Physics Education: A Comprehensive Review from GCSE to University Levels
    Physics Education
    The paper produced from my 1st Year Summer research. From Abstract: With the rapid evolution of artificial intelligence (AI), its potential implications for higher education have become a focal point of interest. This study delves into the capabilities of AI in physics education and offers actionable AI policy recommendations. Using openAI’s flagship gpt-3.5-turbo large language model (LLM), we assessed its ability to answer 1337 physics exam questions spanning general certificate of secondary education (GCSE), A-Level, and introductory university curricula.

Skills

Astronomy
Simulation Based Inference
Source Extraction (GE and Segmentation)
Time-Domain Astronomy
CCD Astronomy (14-30in reflectors)
IFU Spectroscopy (VLT MUSE)
Galaxy Evolution & Survey Astronomy
Physics
Theoretical Soft Matter (Simulations)
Solid-State (Symmetry Breaking)
Bayesian Inference
Science Communication
Computing
High Performance Computing (+GPU)
jax & torch (ML and NNs)
MPI and Massive Parallelisation
python, R & rust

Interests

Astronomy
LSST & SKA-Mid (Large Survey Era)
Observation-led Astronomy
Simulation Based Inference
Galaxy Evolution
AGN Multi Wavelength Emission

Projects