I am an Assistant Professor at the Georgia Tech School of Mathematics. My research centers on the mathematical foundations of machine learning (ML) and its diverse applications in scientific computing and inverse problems. I am a recipient of an NSF CAREER Award and an AFOSR Young Investigator Program (YIP) Award.

Some of my current research interests include:

• Structure-preserving ML: theory and applications

• Generative modeling

• Scientific ML (PDEs, dynamical systems, data assimilation, inverse problem, etc.)

• Data-driven structure discovery (conservation law, symmetry, etc.)

• Implicit bias and optimization