Resume
Academic Achievements
- 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.