Anka Chen

Anka Chen is currently a research scientist specializing in physics-based simulation and the capture of non-rigid objects. Anka got her PhD in Graphics from the University of Utah. Her recent research concentrates on creating parallel solutions for implicit time integration, aiming to deliver robust and efficient strategies for handling elasticity, collisions, and the dynamics of rigid bodies. Additionally, She is investigating the use of deep learning methods to speed up the convergence of physics solvers. A significant portion of her research also includes developing high-resolution deformation capture systems. Those systems are designed to collect real-world data on non-rigid objects, facilitating the study of inverse physics problems.