Francis Williams is a research scientist at NVIDIA working at the intersection of computer vision, machine learning, and computer graphics. His research is a mix of theory and application, aiming to solve practical problems in elegant ways. In particular, he is very interested in 3D shape representations which can enable deep learning on “real-world” geometric datasets which are often noisy, unlabeled, and consisting of very large inputs. He completed his Ph.D. in 2021 at NYU, where he worked in the Math and Data Group and the Geometric Computing Lab. He is also the creator and maintainer of several open source projects, including NumpyEigen, Point Cloud Utils, and FML.