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###### Ph.D. Student

ckelly84@gatech.edu

https://www.linkedin.com/in/conlain-kelly/

Research Areas: Statistical Continuum Mechanics; Materials Informatics; Generative AI; Scientific Machine Learning

## Biography

Advisor: Surya Kalidindi

Conlain completed their undergraduate studies at the University of Wisconsin — Madison, pursuing a double major in Applied Math, Engineering, & Physics and Computer Science. They are currently a Ph.D. candidate in Computational Science and Engineering at Georgia Tech. Their research focuses on hybrid physics-centric data-driven models for statistical continuum mechanics and materials design. More broadly, they are interested in the intersection of deep learning and traditional numerical methods, as well as decision-making under uncertainty.

## Affiliations

School of Computational Science and Engineering