Contributor

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, Tata Consultancy Services Presidential Fellowship, and best paper awards at SIGGRAPH and CVPR. He has co-organized courses on Monte Carlo PDE solvers at the Symposium on Geometry Processing (2024) and SIGGRAPH (2025), and has collaborated with industry through internships at Adobe, Apple's XDG, and NVIDIA's High Fidelity Physics team.