Aaron Zweig is a postdoctoral research scientist. He is co-mentored by Elham Azizi and David Knowles. Aaron's research interests focus on geometric deep learning, specifically graphs and group invariance, and its application to causal inference and spatial transcriptomics. Aaron completed his undergraduate degree in math at Stanford University, and his PhD in machine learning at NYU. His hobbies include singing and aerial acrobatics.