Presenter

Bailey Miller is a PhD student at Carnegie Mellon University advised by Ioannis Gkioulekas. His research develops Monte Carlo algorithms for large-scale simulation and stochastic scene representations for inverse tasks like 3D reconstruction. His work has received recognition through the NSF Graduate Research Fellowship, the NVIDIA Graduate Research Fellowship, and best paper awards at both SIGGRAPH and CVPR. He has previously co-taught a course on Monte Carlo PDE solvers at the Symposium on Geometry Processing (2024), and has collaborated with industry through internships at Adobe, Apple's XDG (Exploratory Design Group), and NVIDIA's High Fidelity Physics team.