Mira Gordin CV
Mira Gordin
I am a Prager Assistant Professor in the Division of Applied Mathematics at Brown University.

My research is in probability theory and I enjoy working at the intersection of probability, geometry, and analysis.

Some topics I'm interested in are high-dimensional probability, concentration of measure, random walks on graphs and groups, notions of discrete curvature, and metric embeddings.

Previously, I completed my PhD in Applied Mathematics at Princeton University, where my PhD advisor was Ramon van Handel. Before Princeton, I was an undergraduate student at Brown University and worked with Kavita Ramanan on interacting particle systems and random walks on graphs.

Email: miriam_gordin [at] brown [dot] edu
Research & Publications
Vector-valued concentration inequalities on discrete spaces. PhD Thesis, Princeton University, 2025.

Vector-valued concentration inequalities on the biased discrete cube. (preprint, 2024)

Vector-valued concentration on the symmetric group. In preparation. (with Ramon van Handel)

Locally Interacting Markov Chains on Heterogeneous and Random Graphs. Bachelor thesis, 2020.
Recorded Talks
Other
I participated in a fall school on Heat Flow, two-point inequalities, and beyond where I gave two expository talks about the paper "Bourgain's slicing problem and KLS isoperimetry up to polylog" (B. Klartag, J. Lehec). You can find my slides for these talks here (background and main results) and here (some overview of the proofs).

Other publications: Assembly of the Lactuca sativa, L. cv. Tizian draft genome sequence reveals differences within major resistance complex 1 as compared to the cv. Salinas reference genome. Journal of Biotechnology, Volume 267, 10 February 2018, Pages 12-18, ISSN 0168-1656. (with B. Verwaaijen, D. Wibberg, J. Nelkner, O. Rupp, A. Winkler, A. Bremges, J. Blom, R. Grosch, A. Pühler, A. Schlüter)