I'm a 26-year-old PhD student from France, working in Gravitational Wave Astronomy at a CNRS laboratory. My research is part of the LISA mission, focused on the rapid localization of massive black hole binaries (MBHB) from simulated gravitational-wave data.

More broadly, my work sits at the intersection of astrophysics, signal processing, and scientific computing — and I'm just as drawn to physics for its own sake as I am to the engineering side of it.

class Hugo:
    def __init__(self):
        self.role = "PhD Student in Gravitational-Wave Astronomy"
        self.mission = "LISA"
        self.affiliation = "CNRS, France"
        self.focus = ["MBHB rapid localization", "signal processing", "machine learning"]
        self.also_loves = "fundamental physics & simulation"
        self.language = "Python"

    def current_work(self):
        return "Fast sky localization of massive black hole binaries for LISA 🛰️"

• 🌌 Gravitational-wave source localization — rapid sky localization of massive black hole binaries (MBHB) for LISA
• 🕳️ EMRI sources — extreme mass-ratio inspiral analysis
• 🧠 Machine learning for astrophysics — inference of galactic models from LISA data
• 📡 Stochastic gravitational-wave backgrounds and their cosmological implications

I have a deep interest in fundamental physics beyond my day-to-day research, and I like building simulations from first principles to understand and visualize it. From the master equations of quantum mechanics and general relativity, I've simulated:

• 🌀 The quantum tunneling effect — 2D wave packet crossing a potential barrier (FDTD)
• 🎯 The quantum double-slit experiment — interference pattern emerging from a single wave packet
• 🕳️ A black hole — light bending and horizon structure from the Schwarzschild/Kerr metric
• 🌉 A wormhole — spacetime geometry and ray-traced visualization from the Einstein field equations

I also animate these simulations to make the underlying physics more intuitive to look at.

My main focus is gravitational waves: I've studied stochastic gravitational-wave backgrounds and their cosmological implications, and — across two research internships — the inference of galactic models from LISA detections using machine learning. I build simulations in Python to reproduce the data streams of detectors like LIGO, Virgo, and LISA. Check my pinned repos below for the latest simulations and results.

Simulating fundamental physics from scratch is where I go to just enjoy the subject: the 2D quantum tunneling effect, the quantum double-slit experiment, a black hole, and a wormhole, all built from the master equations of quantum mechanics and general relativity using Finite Difference Time Domain (FDTD) and numerical relativity methods, then animated for visual intuition.