I am a PhD student at the University of Pennsylvania in the Physics & Astronomy Department. I am advised by Prof. Arratia (Penn Complex Fluids Lab) and Prof. Riggleman. My research objective is to further our understanding of the interplay between microscopic structure and dynamics in complex systems such as structural glasses, polymers, and sheared suspensions. I graduated with a Bachelors degree in Physics from Rutgers University in 2017.
- Application and interpretation of ML-based quantities in glassy systems. Machine-learned quantities have been recently shown to posses tremendous predictive power in disordered systems, far surpassing the performance of traditional indications. We are interested in furthering our understanding of these quantities through their relation to conventional measures and the thermodynamics of these systems.
- Memory in sheared granular media. Glassy systems driven by oscillatory shear exhibit non-trivial memories of the forces imposed on them. We are currently investigating the use of ML-techniques to understand the origin of these memories from microscopic structure.
- Huang, S., Graham, I. R., Riggleman, R. A., Arratia, P., Fitzgerald, S., & Reina, C. (2022). Predicting the unobserved: a statistical mechanics framework for non-equilibrium material response with quantified uncertainty. Journal of the Mechanics and Physics of Solids, 104779.
- Brosseau, Q., Ran, R., Graham, I., Jerolmack, D. J., & Arratia, P. E. (2022). Flow and aerosol dispersion from wind musical instruments. arXiv preprint arXiv:2201.10386.
- Galloway, K., Teich, E., Ma, X., Kammer, C., Graham, I., Keim, N., ... & Arratia, P. (2021). Relationships among structure, memory, and flow in sheared disordered materials.
- Please contact me by email: firstname.lastname@example.org