About me

I’m a Ph.D. candidate at New York University, advised by Guido Gerig. I’m part of the multi-disciplinary Visualization, Imaging, and Data Analysis (VIDA) Center at NYU which provides a wonderful environment for both research and not losing your mind in gradschool.

My research primarily focuses on computer vision applied to medical and biological images - a field that fortunately offers both fun technicality and real-world relevance.

Research Interests

Starting with a heavy interest in low-rank matrix and tensor factorizations early in my Ph.D., I became interested in group equivariant networks, adversarial learning, and geometric deep networks. I’m constantly surprised at the crossover.

Recent Updates