Computer engineer and computational physicist working at the intersection of inverse problems, optical design, and efficient numerical methods.
FluxOptics.jl, a Julia library for differentiable wave propagation and inverse optical design.
A Julia library unifying several years of work in computational optics, emphasizing composable architectures and efficient algorithms suitable for gradient-based optimization. Designed for practical inverse design and characterization of optical components.
Software Engineering
Formal verification, functional programming (OCaml, Coq), software architecture. Former maintainer of Javalib (2018-2020) at INRIA Rennes.
Computational Physics
Wave propagation, inverse problems, automatic differentiation, adjoint methods. PhD in computational optics, postdocs at University of Innsbruck, FAU Erlangen, and University of Rennes.
Current interests
Physics-informed optimization, differentiable simulation, practical algorithms for inverse problems.
N. Barré and M. Brunel, "Differentiable wave propagation method for shape optimization of freeform optics beyond the paraxial approximation," Optics Letters 50, 2860-2863 (2025). DOI
N. Barré et al., "Direct laser-written aperiodic photonic volume elements for complex light shaping with high efficiency: inverse design and fabrication," Advanced Photonics Nexus 2, 036006 (2023). DOI
N. Barré and A. Jesacher, "Inverse design of gradient-index volume multimode converters," Optics Express 30, 10573-10587 (2022). DOI
N. Barré and A. Jesacher, "Holographic beam shaping of partially coherent light," Optics Letters 47, 425-428 (2022). DOI
N. Barré et al., "Tomographic refractive index profiling of direct laser written waveguides," Optics Express 29, 35414-35425 (2021). DOI
I'm interested in applying computational methods to challenging inverse problems, particularly in optics and physical simulation. Open to collaboration on projects involving differentiable programming, optimization, or physics-based modeling.
Available for consulting and short-term technical projects in computational physics and inverse design.