About me

I am a postdoctoral researcher beginning work with Julien Tailleur, Frederic van Wijland, and Leticia Cugliandolo in January 2023. My research interests include soft and active matter, molecular simulation, machine learning, and quantum computation. A common theme motivating much of my work is the study of how collective phenomena emerge out of individual dynamics, particularly in driven and living systems.

I earned my PhD in chemical engineering from UC Berkeley, where I worked in the group of Kranthi Mandadapu. My PhD research focused on the statistical physics of transport phenomena in active matter; that is, systems made up of self-propelled particles. Before that, I worked at D. E. Shaw Research in New York City, using high-accuracy quantum chemistry calculations to train classical force fields, which in turn are used in molecular dynamics simulations of herculean size and duration. More details can be found in my CV.

Select Publications

• Odd Diffusivity of Chiral Random Motion
  Physical Review Letters, 2021 (Editor’s Suggestion)
  [pdf] [suppl] [doi] [arXiv]

• Anomalous nanoparticle surface diffusion in LCTEM is revealed by deep learning-assisted analysis.
  Proceedings of the National Academy of Sciences, 2021
  [pdf] [suppl] [doi]

• Time reversal symmetry breaking and odd viscosity in active fluids: Green-Kubo and NEMD results.
  The Journal of Chemical Physics, 2020 (Cover Feature, Editor’s Pick)
  [pdf] [suppl] [doi] [arXiv]