Bailey Miller

[ email | github | google scholar | cv ]

I'm a member of technical staff at World Labs. Before joining World Labs, I received my PhD from Carnegie Mellon University, where I was advised by Ioannis Gkioulekas and supported by the CMU Presidential Fellowship (sponsored by Tata Consultancy Services), the NVIDIA Graduate Research Fellowship, and the NSF Graduate Research Fellowship. During my PhD I had the opportunity to intern with Adobe Research, Apple's Exploratory Design Group (XDG), and NVIDIA's High-Fidelity Physics Research team. I received a BA in Computer Science and Mathematics at Dartmouth College, where I had the privilege of working with Wojciech Jarosz.

selected publications


Solving partial differential equations in participating media
ACM Transactions on Graphics (SIGGRAPH), 2025
Walkin' Robin: Walk on Stars with Robin Boundary Conditions
ACM Transactions on Graphics (SIGGRAPH), 2024
best paper award
Objects as Volumes: A stochastic geometry theory for opaque solids
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
best student paper honorable mention award
Path-Space Differentiable Rendering
ACM Transactions on Graphics (SIGGRAPH), 2020
(*, † indicate equal contribution) — full list on google scholar

teaching


Vision, Imaging, and Simulation for Heat and Light
Co-organizer, SIGGRAPH Asia Course (2025)
State of the art in grid-free Monte Carlo methods for partial differential equations
Co-organizer, SIGGRAPH Course (2025)
Monte Carlo geometry processing
Co-organizer, SGP Graduate School Course (2024)