Resume

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Jonas Elias El Gammal

Born 04 May 1997 in Bochum, Germany

Email LinkedIn GitHub InspireHEP OrcidID

🎓 Education

University of Insubria Logo University of Insubria — Postdoctoral Researcher

2024–Present

  • Accelerating Pulsar Timing Array inference using GPUs and differentiable programming with JAX (EPTA collaboration).

CERN Logo CERN — Visiting Scientist

2024

  • Three-month visit to the theory department.
  • Developing data analysis pipeline for second-order scalar-induced gravitational waves from inflation (LISA), in collaboration with M. Pieroni and G. Franciolini.

UiS Logo University of Stavanger — PhD Fellow in Physics

2021–2025

  • Thesis: Cutting edge data analysis for gravitational wave detection with LISA
  • Topics include:
    • Constraining scalar-induced gravitational waves with LISA.
    • LISA & Planck inference accelerated with machine learning.

Grenoble INP Logo Grenoble INP, PHELMA — ERASMUS Exchange

2019–2020

  • Nuclear engineering specialization.

RWTH Logo RWTH Aachen University — B.Sc.+M.Sc. in Physics

2015–2020

  • B.Sc. Grade: 1.7, M.Sc. Grade: 1.3
  • Focus: Astroparticle physics and cosmology
  • Master Thesis: Accelerating Bayesian Inference of expensive Likelihoods with Gaussian Processes
    Supervisors: Prof. J. Lesgourgues, Jesús Torrado

👨‍🏫 Teaching Experience

UiS Logo University of Stavanger

  • Numerical Methods - Full course (2023, 2024)
    • Bachelor-level course including Python programming and numerical algorithms (ODEs, PDEs).
  • Electromagnetism & Special Relativity - Full course (2023)
    • Based on Purcell & Morin’s textbook.

RWTH Logo RWTH Aachen University

  • Tutor (2017–2019)
    • Courses on optics, quantum physics, nuclear physics, data processing & statistics.
    • Involved in grading and leading tutorials.

📝 Publications

  • Apr 2025 — Accelerating LISA inference with Gaussian processes
    Jonas El Gammal et al. — ArXiv:2503.21871

  • Jan 2025 — Reconstructing Primordial Curvature Perturbations via Scalar-Induced GWs
    LISA Cosmology Working Group — ArXiv:2501.11320

  • May 2023 — Parallelized Acquisition for Active Learning using Monte Carlo
    Jesús Torrado, Nils Schöneberg, Jonas El Gammal — ArXiv:2305.19267

  • Nov 2022 — Fast and Robust Bayesian Inference using Gaussian Processes with GPry
    Jonas El Gammal et al. — ArXiv:2211.02045

🧰 Python packages

GitHub logo GPry

  • Speeds up inference with expensive likelihoods via a Gaussian Processes surrogate model and active learning.
  • Implements efficient batch acquisition strategies with nested sampling for improved scalability.

GitHub logo SIGWAY

  • Computes second-order scalar-induced gravitational waves using
    • A model-independent binned power spectrum of curvature perturbations.
    • A template-based approach using common inflationary models.
    • A first-principles approach solving the background and perturbation EOM for single-field inflation.

💻 Technologies

  • Programming: Python, jax, Machine learning algorithms and packages such as TensorFlow, PyTorch, scikit-learn, etc.
  • Tools: Git, ReadTheDocs, LaTeX, etc.

🗣️ Languages

  • German: Native
  • English: Near-native
  • French: Fluent (B2/C1)

🏕️ Interests

  • Hiking, Climbing, Surfing, Skydiving, Skiing, Mountaineering
  • Guitar and Piano
  • Occasional academic fun — see ArXiv:2403.20219