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3D Simulation Scientist - Physics-Based Engines

Inria, EPIONE team
antoine.chanlock[at]gmail.com


Bio

I am a 3D simulation scientist and computer scientist at Inria, working with the EPIONE team in the Greater Nice Metropolitan Area. I develop physics-based simulation engines for soft deformations, fluids, and biomedical applications.

My current work focuses on computational cardiology: I am developing a fluid simulation engine based on the Lattice Boltzmann Method (LBM), the Immersed Boundary Method (IBM), and JAX to study blood flows in the heart. Fast and accurate simulations allow us to understand problematic bloodflows and open new ways to fight ischemic strokes.

During my PhD at the Universidad Rey Juan Carlos, I developed efficient homogenization and model-reduction methods for the simulation of complex and microstructured materials.

I combine numerical methods, machine-learning-assisted pipelines, and high-performance computing to improve simulation speed and accuracy.

You can find here my one-page resume, and my linkedin-resume.

Research interests: Computational cardiology, fluid simulation, soft deformations, finite element methods, microstructures, homogenization, model reduction, and high-performance scientific computing.

Projects

Now wroking on blood simulation in the heart with an LBMxIBM jax self implementation :)

Left atrial blood-flow simulation

Experience

Education

Skills

Publications

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Polar Interpolants for Thin-Shell Microstructure Homogenization
In SIGGRAPH ASIA (Conference), 2024.
This paper presents a new approach to material homogenization for thin-shell microstructures, overcoming key limitations of prior methods. Existing techniques either neglect visual impact (energy-based fitting), lack conservatism (stress-based fitting), or oversimplify the interplay between deformation modes. Our formulation ensures conservative material energy functions, captures high-dimensional interactions between membrane and bending deformations, aligns material domains with training data, and optimizes stress-based parameters for better visual fidelity. Central to our approach is a novel high-order RBF interpolant for polar coordinates, enabling these advancements. The resulting material function and workflow achieve superior quantitative and qualitative fitting of diverse microstructure behaviors.
Paper - Video - Code
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High-Order Elasticity Interpolants for Microstructure Simulation
In Computer Graphics Forum (Proc. SCA), 2022.
We propose a novel formulation of elastic materials based on high-order interpolants, which fits accurately complex elastic behaviors, but remains conservative. The proposed high-order interpolants can be regarded as a high-dimensional extension of radial basis functions, and they allow the interpolation of derivatives of elastic energy, in particular stress and stiffness. Given the proposed parameterization of elasticity models, we devise an algorithm to find optimal model parameters based on training data. We have tested our methodology for the homogenization of 2D microstructures, and we show that it succeeds to match complex behaviors with high accuracy.
Main URLPaper - Video - Code