Published multiple international journal papers including 'Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains', 'Revisiting the role of friction coefficients in granular collapses: confrontation of 3-D non-smooth simulations with experiments', and 'Loki: A Unified Multiphysics Simulation Framework for Production'.
Research Experience
Contributed to the development of Loki, a unified physics simulation framework for major VFX productions; received an Academy Technical Achievement Award along with Niall Ryan and Christoph Sprenger.
Education
PhD thesis on the numerical simulation of frictional contacts in complex materials, supervised by Florence Bertails-Descoubes at Inria and Université Grenoble Alpes, honored with the 2017 GdR IG-RV award.
Background
Currently a Research Scientist at NVIDIA, working at the intersection of physics simulations and machine learning. Previously, helped develop Loki, a unified physics simulation framework for major VFX productions at Weta Digital.
Miscellany
Open-source project bogus is a general-purpose, efficient yet easy-to-use sparse block matrix library, with applications to Coulomb friction related problems.