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With backgrounds in both numerical analysis and differential geometry, Chern studies the interplay among differential geometry, algebraic topology, differential equations, and computational mathematics. This includes physical modeling in geometric language, and discretization methods that preserves structures in their continuous analogs. The research direction has given successful and novel applications in fluid dynamics, geometry processing, as well as classical numerical PDE challenges such as absorbing boundary conditions in wave computations.

Capsule Bio:

Before joining Â鶹´«Ã½ in 2020, Chern was a postdoctoral researcher at Technische Universitat Berlin. He received his Ph.D. in 2017 from the California Institute of Technology. He holds a master's and bachelor's degree from the National Taiwan University.