I am a senior research scientist at NVIDIA in NYC working at the intersection of computer vision, machine learning, and computer graphics. My research is a mix of theory and application, aiming to solve practical problems in elegant ways. In particular, I’m very interested in 3D shape representations which can enable deep learning on “real-world” geometric datasets which are often noisy, unlabeled, and consisting of very large inputs.

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

In addition to doing research, I am the creator and maintainer several open source projects. These include fVDB, Point Cloud Utils, NumpyEigen. I’m also a contributor and maintainer of OpenVDB.

I’m currently looking for motivated interns to work with. Please reach out to me if you would like to chat about potential collaborations at NVIDIA!