Nima Dehmamy

Nima Dehmamy is a Research Staff Member at IBM Research, Cambridge MA. His research focuses on AI for science, equivariant networks, optimization theory and graph neural networks. His recent projects include

• Symmetries, conserved quantities and flat minima in the loss landscape
• Generative adversarial symmetry discovery
• Coarse-graining in machine learning models

He earned his PhD in physics from Boston University in 2016. He was a research faculty at Northwestern University 2019-2022.