Adrian Butscher
Distinguished Research Scientist
Americas
Biography
Adrian Butscher is a Distinguished Research Scientist in geometry processing and physical simulation. His research focuses on the design of algorithms for analysis, synthesis and simulation of discretized 3D geometry.
Adrian began his career as an academic mathematician specialized in differential geometry, partial differential equations, and the calculus of variations. He has conducted fundamental research in several fields related to area-minimizing surfaces. He has held positions at the Max Planck Institute for Gravitational Physics and Geometric Analysis, and in the mathematics departments at the University of Toronto and at Stanford University. More recently, as an assistant professor in the Max Planck Centre for Visual Computing and Communication (jointly at Stanford University and at the Max Planck Institute for Informatics), he has developed expertise and conducted research in geometry processing. Projects he has contributed to include: intrinsic symmetry detection, segmentation and deformation of 3D models, automatic generation of correspondences between 3D models, and applications of optimal transportation distances in shape analysis. Prior to Autodesk, Adrian held a visiting scholar position at Pixar Animation Studios.
Adrian received his B.Sc. in mathematics and physics at the University of Toronto and his Ph.D. in mathematics at Stanford University.
Publications (34)
2024
Optimal Design of Vehicle Dynamics Using Gradient-Based, Mixed-Fidelity Multidisciplinary OptimizationThis research showcases a multidisciplinary approach to optimize a…
2024
Multidisciplinary Modular Approach to Kinematic Mechanism SynthesisWe present the first set of Mechanical Building Blocks modelled so…
2023
Leveraging Graph Neural Networks for Graph Regression and Effective Enumeration ReductionGraph-based framework represents aspects of optimal thermal management…
Projects
2019
GAMMA: Space Exploration LanderExploring new approaches to design and manufacturing processes for…
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