Published multiple papers including 'Mixture of Volumetric Primitives for Efficient Neural Rendering' (SIGGRAPH 2021) and 'Neural Volumes: Learning Dynamic Renderable Volumes from Images' (SIGGRAPH 2019).
Research Experience
Worked at Meta Reality Labs Research, focusing on creating real-time photorealistic virtual humans. Currently continues his research at Google.
Education
Ph.D. in 2016 from Drexel University, advised by Ko Nishino; Bachelor’s degree in 2009 from The College of New Jersey.
Background
Currently a Research Scientist at Google, working on Project Starline. Previously, he was a Research Scientist at Meta Reality Labs Research in Pittsburgh, PA, where he worked on creating real-time photorealistic virtual humans by conducting research in the area of Neural Rendering, which combines techniques from computer graphics, computer vision, and machine learning.