CV

This is a brief summary of my education and research experiences, for further information please contact me via email.

Education

• Imperial College London, PhD in High Energy Physics (2023-2027)
  • Analysis of the CP structure of the Yukawa coupling between the Higgs boson and Tau leptons at CMS.
  • Supported by the Schrödinger Scholarship.
• Imperial College London, MSci Physics with a Year Abroad (2019-2023)
  • First Class Honours (79.47% overall)
  • Master’s Thesis: Identification of Hadronic Tau Lepton Decays with Domain Adaptation using Adversarial Machine Learning Techniques at CMS (awarded 90%).
  • Year abroad at Ecole Polytechnique Fédérale de Lausanne, Switzerland.
  • Awards: Dean’s List (Year 4), Dean’s List (Year 3), Ken Allen Prize for Academic Excellence (2022).
• Lycée Francais Charles de Gaulle, French Baccalaureate (2012-2019)
  • Scientific stream, specialisation in Mathematics, Highest honours (Mention Très Bien).
  • Overall grade of 20.11/20 (exceeding maximum grade through optional subjects).

Research Skills

• Programming: Python, C++ (including ROOT), Linux (Bash/Zsh), Latex.
• Machine Learning: Deep Neural Networks (Dense, Convolutional and Pooling Layers) for classification and regression. Experienced with TensorFlow/Keras packages.
• Other: Communication of results (e.g. presentations), teamwork, problem solving, and collaborative coding/version control (Git, GitHub).

Research Experience

• Institute of Particle and Nuclear Studies, KEK Tsukuba (Summer 2023)
  • Summer student on the future muon g-2/EDM experiment at J-PARC.
  • Simulation and Hardware projects on laser ionisation and particle transport for muon cooling.
• High Energy Physics Group, Imperial College London (Summer 2022)
  • Summer Project on the Compact Muon Solenoid (CMS) Experiment.
  • Improved the reconstruction of neutral pions in hadronic tau lepton decays for an analysis of the CP structure of the Yukawa coupling between the Higgs boson and taus.
• High Energy Physics Laboratory, Ecole Polytechnique Fédérale de Lausanne (2021-2022)
  • Master’s Project during Year Abroad on the CMS Experiment.
  • Contributed to the development of the deep convolutional neural network used for tau identification at CMS, ”DeepTau”, which simultaneously discriminates tau leptons decaying into hadrons against quark/gluon jets, electrons and muons.
  • Made significant changes to the network architecture to introduce domain adaptation by backpropagation into the training workflow using C++/ROOT and Python, to reduce the impact of mismodelling in the simulated events used for training.
• Plasma Physics Group, Imperial College London (Summer 2021)
  • Summer Project on the Joint European Torus (JET) Experiment.
  • Determined an analytical solution to the convolution integral of a modified Lorentzian and a Gaussian, to combine the effects of several broadening mechanisms for spectral fitting.

Teaching Experience

• Imperial College London, Undergraduate Teaching Assistant (2022-2023)
  • Demonstrator on the Year 1 Practical Physics Course.
  • Assisted first year undergraduates during computing (python) and data analysis sessions.