Published multiple papers such as 'Neural Inverse Rendering from Propagating Light' (CVPR 2025), 'Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering' (ECCV 2024), and others. Supported by the Meta PhD fellowship.
Research Experience
During his PhD at Carnegie Mellon University, he has been involved in several research projects, including Neural Inverse Rendering from Propagating Light, Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering, and more.
Education
PhD: Carnegie Mellon University, advised by Professor Matthew O'Toole; Bachelor's and Master's: Brown University, majoring in Computer Science and Applied Math.
Background
Research Interests: Computer Vision, Computational Imaging, and Machine Learning. Focused on leveraging physics-based light transport and neural fields to design robust systems for inverse rendering and 3D reconstruction.