CV

Education

• Ph.D in Astrophysics, 2019
  • Université de Paris, France
  • Evolution of interacting low-mass stars: multitechnical observations and modeling of multiple systems
• M.S. “Analysis, Modeling, Simulation”, 2016
  • Université Paris–Saclay, France
  • Mathematical methods to model physical phenomena (e.g., propagation, diffusion, transport)
  • Numerical methods to solve the associated problems
• M.Eng., 2016
  • ENSTA Paris, France
  • Mathematics applied to physics

Work experience

• 2024 – today: Postdoctoral Researcher
  • INRIA, Saclay, France
  • Event detection for large-scale physical simulations
• 2020 – 2023: AI Research Scientist
  • Milvue, Paris, France
  • Startup company; computer vision for radiology
• 2016 – 2019: PhD Candidate
  • CEA, Saclay, France

Skills

• Languages: French (mothertongue), English (fluent), Italian (C1), German (rusty but not that bad)
• Programming: Python, C++, Fortran, Matlab, R

Publications

RoseCDL: Robust and scalable convolutional dictionary learning for rare-event detection

Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment

KIC 7955301: A hierarchical triple system with eclipse timing variations and an oscillating red giant

Spectroscopic and seismic analysis of red giants in eclipsing binaries discovered by Kepler

Active red giants: Close binaries versus single rapid rotators

A giant impact as the likely origin of different twins in the Kepler-107 exoplanet system

Evolution of star-planet systems under magnetic braking and tidal interaction

Testing tidal theory for evolved stars by using red giant binaries observed by Kepler