I am a Research Staff Member at IBM Research in the MIT-IBM lab in Cambridge, MA. I work on machine learning for science and theory of machine learning. Specifically, I focus on:

• Graph Neural Networks (GNN)
• Group equivariant neural networks
• Symmetries and conservation laws in gradient-based learning.

See my Google scholar for recent papers.

Education Background

I obtained my PhD in physics at Boston University with Prof. Eugene Stanley in 2016. I have worked on a range of topics in physics, from black hole physics to 3D embedded physical networks (e.g. neurons in the brain).