I am a Senior Scientist at the NVIDIA Spatial Intelligence Lab and the creator/technical lead of the high-performance 3D deep learning libraries fVDB and fVDB-Reality-Capture. When not traveling the world, I am based in New York City with my wife, Amanda.

My research operates at the intersection of computer vision, machine learning, and computer graphics. I specialize in developing 3D shape representations which enable deep learning on real-world geometric data. These are often large, noisy, and unlabeled. My work is a mix of theory and application, aiming to be technically rigorous and readily usable.

To that end, I have created and maintain several open source projects like fVDB, fVDB-Reality-Capture, and Point Cloud Utils.

I completed my PhD from NYU in 2021 where I was part of the Math and Data Group and the Geometric Computing Lab. My advisors were Joan Bruna and Denis Zorin.