I am a 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 research, I also develop, maintain, and contribute to several open source projects. These include NumpyEigen, Point Cloud Utils, and FML.

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!