CV

Employment history

  • Assistant Professor, University of Warwick, November 2023 – present
    • Assistant Professor in Predictive Modelling and Scientific Computing.
    • Leading a research group in the Warwick Centre for Predictive Modelling (housed in Engineering).
    • Research focuses on deterministic sampling algorithms in the physical sciences, with connection to data science.
    • Teach third-year and MSc/CDT modules on physics and Monte Carlo simulation/sampling algorithms.
  • EPSRC Postdoctoral Research Fellow, University of Bristol, August 2017 – October 2023 (3-year grant with extended sickness absence. Around 3.5 years of full-time research from PhD to end of grant.)
    • Principal investigator on EPSRC fellowship EP/P033830/1 in the School of Physics.
    • Discovered the ‘general symmetry breaking’ common to many 2D materials – predicts a memory timescale.
    • Co-created rejection-free Monte Carlo (with the software package JeLLyFysh) for stable molecular simulation.
    • Co-produced an in-depth article for stats/machine learning on statistical physics and its simulation algorithms.
    • Supervised two final-year undergraduate projects and co-convened an undergraduate laboratory-project module.
  • Visiting scientist, Ecole normale supérieure, Paris, September 2017 – October 2018
    • Collaborative project developing MCMC algorithms for systems with long-range interactions (e.g., water).
  • Visiting scientist, Max Planck Institute for the Physics of Complex Systems, Dresden, April 2018
    • Pilot project developing industrial standard version of our new MCMC water algorithm.
  • Senior Teaching Associate, University of Bristol, September 2016 – July 2017
  • Postdoctoral Research Associate, University of Bristol, February – September 2016

Education

  • PhD Theoretical Physics, November 2011 – January 2015
    • University College London and Ecole normale supérieure de Lyon
    • Avec la mention très honorable (the highest available honour).
    • Supervisors: Steven T. Bramwell and Peter C. W. Holdsworth.
    • Examiners: Ian J. Ford, Anthony C. Maggs, Stephen Powell and Tommaso Roscilde.
  • MASt in Applied Mathematics, 2010 – 2011
    • University of Cambridge
    • Honours in Part III Mathematics, specializing in the theories of particle physics and general relativity.
  • BSc (Hons) Mathematical Physics, 2007 – 2010
    • University of Nottingham
    • First Class, finishing top of the academic year.

Research funding

  • EPSRC research fellowship EP/P033830/1, August 2017 – October 2023
    • £293,118.
    • Research fellow and principal investigator.
    • Three year grant interrupted by extended sickness absence.
  • Visiting scientist, Ecole normale supérieure, September 2017 – October 2018
    • £21,500 in-kind contribution to my EPSRC fellowship.
  • Max Planck Institute fellowship, April 2018
    • Approximately €2,500.
    • Visiting researcher.
  • Funded by ANR JCJC-2013 ArtiQ , December 2014 – February 2015
    • Approximately £5,000.
    • Doctoral researcher.
  • CNRS – UCL IMPACT joint studentship, December 2011 – November 2014
    • Approximately £100, 000.
    • Doctoral researcher.

Invited talks

  • Computational Chemistry Seminar, University of Warwick, December 2024
    • Piecewise deterministic Markov processes for molecular simulation
  • Stochastic systems for anomalous diffusion, Isaac Newton Institute, November 2024
    • Breaking symmetry to save symmetry: asymmetric event-chain momentum sampling in statistical physics
  • Statistics Seminar, University of Bristol, November 2024
    • Piecewise deterministic Markov processes for the physical sciences
  • Fluid Dynamics Seminars, University of Warwick, June 2024
    • A journey from superfluid to ferromagnetic films
  • CoSInES-Bayes4Health Masterclass, University of Warwick, April 2024
    • Sampling algorithms for phase transitions in statistical physics
  • Departmental Seminar, Warwick Centre for Predictive Modelling, November 2023
    • Fast sampling at phase transitions in statistical physics
  • Algorithms and Computationally Intensive Inference Seminars, University of Warwick, October 2023
    • Fast sampling at phase transitions in statistical physics
  • Perfect sampling workshop, Royal Statistical Society, June 2023
    • Fast sampling at phase transitions in statistical physics
  • Theory Group Seminar, Department of Physics, University of Warwick, January 2023
    • General symmetry breaking at a topological phase transition
  • Departmental Seminar, Centre for Mathematical Sciences, University of Plymouth, December 2022
    • Statistical physics and its sampling algorithms: how it works and why a statistician should care
  • Theory Group Seminar, Department of Physics, University of Birmingham, October 2022
    • General symmetry breaking at a topological phase transition
  • Departmental Seminar, Laboratoire de Physique Théorique, Toulouse, December 2019
    • Adventures in electrolytes: from nonergodicity in emergent ones to rejection-free Monte Carlo in real ones
  • Departmental Seminar, Laboratoire Ondes et Matière d’Aquitaine, Bordeaux, December 2019
    • Adventures in electrolytes: from nonergodicity in emergent ones to rejection-free Monte Carlo in real ones
  • Theory Group Seminar, Max Planck Institute for Molecular Cell Biology and Genetics, Dresden, April 2018
    • Rejection-free Monte Carlo in liquid water
  • Theory Group Seminar, HH Wills Physics Laboratory, University of Bristol, March 2018
    • Ergodicity breaking in two-dimensional systems with XY symmetry
  • Theory Group Seminar, Institut Laue-Langevin, Grenoble, November 2015
    • Topology and emergence in Berezinksii-Kosterlitz-Thouless systems

Conference organisation

  • Monte Carlo sampling: beyond the diffusive regime
    • One-week conference at the Isaac Newton Institute in Cambridge in November 2024.
    • Theme: non-diffusive Monte Carlo sampling from complex probability distributions.
  • CoSInES-Bayes4Health Masterclass
    • One-week masterclass at the University of Warwick in April 2024.
    • Theme: pedagogical talks (aimed at Bayesian statisticians) on modern simulation techniques for contemporary problems in the physical sciences.
  • Sampling methods in statistical physics and Bayesian inference
    • One-day conference at the Isaac Newton Institute in Cambridge on 18 July 2017.
    • Theme: sampling from complex probability distributions, with an emphasis on nonreversible processes.

Teaching

  • School of Engineering, University of Warwick, 2024 – 2025
    • MSc co-lecturer: give half of ES98D Particle-based Modelling.
  • School of Engineering, University of Warwick, 2023 – 2025
    • Third-year co-lecturer: give half of ES386 Dynamics of Vibrating Systems.
  • School of Engineering, University of Warwick, 2023 – 2025
    • MSc project supervisor/examiner for group and individual projects.
  • School of Engineering, University of Warwick, 2023 – 2024
    • MSc guest lecturer for ES98E Scientific Machine Learning.
  • School of Physics, University of Bristol, 2018 – 2019
    • Co-supervisor: Statistical physics coding lab for third-year undergraduates.
  • School of Mathematics, University of Bristol, 2016 – 2017
    • Problems classes: Probability, statistics and linear algebra to first-year undergraduates.
    • Problems classes: Applied partial differential equations to second-year undergraduates.

Outreach and widening participation

  • Teacher and mentor, DigiLocal High Tech Bristol and Bath, 2016 – 2018
    • Taught coding to 8- to 14-year-old state-school students from disadvantaged backgrounds.
    • Built a long-term partnership between Digilocal and the University of Bristol.
  • Mentor, Social Mobility Foundation, 2017 - 2018
    • Mentored a state-school pupil from a disadvantaged background.
    • Offered educational and career advice.
  • Summer school coordinator and teacher, in2scienceUK, Summer 2014
    • Devised and directed a summer school for state-school students from disadvantaged backgrounds.
    • Taught the introductory theory of quantum mechanics.
  • Mathematics tutor, Action Tutoring, 2012 – 2013
    • Tutored mathematics to state-school students from disadvantaged backgrounds.
    • Acted as a mentor for the students.