Assistant Professor of Computer Science at the University of Chicago
Founded and directs 3DL (threedle!), a research group focused on 3D, machine learning, and visual computing
Research focuses on building AI for 3D data, spanning computer graphics, machine learning, and computer vision
Aims to apply deep learning techniques to unstructured 3D geometric data
Research directions include: mesh-specific CNNs, learning from single shapes (surface reconstruction, geometric texture synthesis, point cloud consolidation), human-AI co-creativity in 3D modeling, weakly supervised learning from shape collections, and interpretability of 3D neural networks