CV

Research Experience

  • 2025-(2029): PhD Student, University College London (UCL)

    Research on developing Simulation-Based Inference techniques for analysing data from the Euclid satellite with Dr Jason McEwen.

  • 2024-2025: Master's Student, Imperial College London
    Master's thesis on DESI galaxy spectra with Dr Boris Leidsted. Received a Merit.

  • 2022-2024: Master's Student, Queen Mary University of London
    Master's thesis on the primordial universe with Dr David Mulryne. Received a distinction. Assumed a log-normal peak in the primordial power-spectrum, from this, calculated whether PIXIE would be able to detect the spectral distortions in the CMB generated from the corresponding PPS shape using MCMC, and whether adding MCMC chains from NanoGrav15 would help identify that peak.

  • 2016-2017: Master Student, University of Oxford
    Master's thesis on using W-spiders to represent OR and AND in a categorical grammar under the supervision of Prof Bob Coecke.

  • 2016: International Fellow, SRI International
    Researched implementing a natural language interface for the proving software PVS.

  • 2016: Verification Project, Ecole polytechnique

    Proved a simple compiler in Coq.

  • 2015: Networking Project, Ecole polytechnique
    Searched for vulnerable public keys by looking for common dividers - coded in Java.

  • 2014-2015: Group Science Project, École Polytechnique
    Lead a research project to build and model a Wilson cloud chamber.

  • 2012-2013: TIPE, Lycée Henri IV
    Wrote code to improve the automation of Hubble images processing for my end-of-year project.

  • 2011: NASA Internship, Goddard Space Flight Center
    Processed and analysed several dozen Hubble images under the supervision of Dr Steve Kraemer.

  • 2010: NASA Internship, Goddard Space Flight Center
    Researched data on Active Galactic Nuclei under the supervision of Dr Steve Kraemer.

Education

  • 2025-2029: PhD in Astroinformatics, University College London (UCL)
    Thesis title: Generative and statistical AI for simulation-based inference (SBI) for Euclid dark energy

  • 2024-2025: MRes in Machine Learning and Big Data in the Physical Sciences, Imperial College London

    Thesis title: Fitting DESI galaxy spectra with SPS models and simulation-based inference

  • 2022-2024: M.Sc. Astrophysics, Queen Mary University of London
    Thesis title: Combining Cosmic Microwave Background and Sotchastic Gravitational Wave Background Data to Find a Peak in the Primordial Power Spectrum.
    Graduated with distinction.

  • 2018-2021: Master of Business Administration, Quantic School of Business and Technology

  • 2016-2017: M.Sc. Computer Science, University of Oxford Thesis title: W-spiders

  • 2013-2016: Diplôme d’ingénieur, École polytechnique GPA: 3.7/4, top 25% of my year.

  • 2024-2025: Programme Lead for Maths4Girls, Founders4Schools
    Managed the Maths4Girls programme, which involved fundraising, partner management, writing newsletters and social media posts, organising events and enrolling new schools.

  • 2018-2024: Vice President, Citigroup
    Held several roles: quantitative developer, quantitative analyst and senior apps developer. Wrote code in C++ and Python mainly.

  • 2017-2018: Software Engineer, Bloomberg LP
    Worked in the Feeds EMEA team, parsing data from stock exchanges in C++.

  • 2017: Trading Intern, Jane Street
    Searched for trading strategies using 3 months of trading data for 12 emerging market ETFs

  • 2015: Digital Strategy Consultant, Eleven Strategy & Management
    Studied the different IoT technologies and recommended Orange for its home automation strategy

  • 2014-2015: Physics Oral Interviewer, Lycee Henri IV and Lycee Saint Louis
    Gave weekly mock oral examinations to prepare first-year university students

  • 2013-2014: Military Internship, Lycee Naval
    Tutored and taught French Navy High School (equivalent of A-level) and Prepa (equivalent of first two years of university) students in maths, physics, English and engineering.

Employment History

Skills

  • Fluent in French and English, intermediate level in Spanish and some basic knowledge of Mandarin Chinese.

  • Python, C++, OCaml, Java, LaTeX,...

  • Linux, Emacs, Eclipse, Visual Studio, Git, Jupyter, General Networking

  • Open water swimming, piano, knitting