I grew up in the sunny city of
During my Ph.D. in physics-based simulation with Nils Thuerey, we used the convex optimization technique fast first-order Primal-Dual method [PCBC09] for several complex problems, such as reconstructing both 3D volume and motion of real-world fluid phenomena based on 2D input sequences, which is the inverse problem to forward fluid simulation. We targeted accurate multi-view reconstructions from a sparse number of cameras, which we gather in our data set ScalarFlow, as well as single-view reconstructions, for which we won the best paper award from SCA'18. Furthermore, we developed a flexible fluid guiding method and achieved separating boundary conditions for liquids with a common CG solver. Have a read through my Ph.D. thesis!
I organized the exercises for the lectures "Basics: Algorithms and Data Structures" and "Deep Learning and Numerical Simulations for Visual Effects" as well as the seminar "Deep Learning in Physics". Additionally, I supervised Bachelor's and Master's Theses. Keywords: fluid simulation, fluid capture, convex optimization, numeric solvers, neural networks
Currently, I am a Simulation Researcher at Weta Digital working on incredibly interesting and fascinating challenges. We went to SIGGRAPH Asia '19 togther!
Besides working on numerical solvers for physics-based simulation, I love