Aaron Miller

Applied Mathematics Ph.D. Student at Harvard University

I study geometric deep learning methods for turbulent flow modeling.

Aaron's Portrait

< About Me />

I'm a second-year (G2) graduate student at Harvard University pursuing a Ph.D. in Applied Mathematics. I work in the Computational Science and Engineering Lab under the advisement of Dr. Petros Koumoutsakos. I graduated in May 2023 from UNC-Chapel Hill with majors in Applied Mathematics and Astrophysics and a minor in Statistics. At UNC, I was advised by Dr. Joaquín Drut.

< Updates />

Upcoming Research Practicum
Sandia National Laboratories
Summer 2025

I'm excited to be joining Dr. Jackie Chen's group at Sandia National Laboratories this summer to work on developing reduced-order models for turbulent reacting flows. This opportunity is made possible by the DOE CSGF program, which enables fellows to participate in a twelve-week research practicum at their choice of one of the 21 DOE national laboratories.

DOE CSGF Practicum
New Fellowship
DOE Computational Science Graduate Fellowship
April 2024

I'm grateful to have received the Department of Energy Computational Science Graduate Fellowship (CSGF) on the Mathematics/Computer Science Track. The fellowship supports "fundamental research into enabling technologies that are broadly relevant to science and engineering applications of interest to the DOE."

View Press Release
New Paper
Calculating the Classical Virial Expansion Using Automated Algebra
December 2023

Dr. Joaquín Drut and I published our work on using schematic model potentials to exactly calculate the virial coefficients of a classical gas. We compute coefficients up to 6th order and use Padé-Borel resummation techniques to investigate the convergence properties of the virial expansion of basic thermodynamic quantities.

Link to Journal Article

< Contact />

I'm happy to hear from you! Also, feel free to share any feedback you may have about the content on my blog. I appreciate being notified of any errors, and I welcome any technical criticism.

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