Reihaneh Malekian

PhD Candidate in Statistics · Columbia University

I am a PhD candidate in Statistics at Columbia University. My research is broadly in probability and mathematical statistics, with particular interests in large deviations, Gibbs measures, random graphs and hypergraphs, graph limits, and fluctuation theory.

I am especially interested in probabilistic methods for high-dimensional statistical models and in understanding the asymptotic behavior of interacting systems.

Papers CV Contact
RM

Research

My work lies at the intersection of probability, statistical mechanics, and mathematical statistics. Current themes include:

Papers

[Title of your large deviations paper]
with [coauthors] · Preprint / submitted
Large deviations and variational asymptotics for tensor-weighted functionals and Gibbs measures, with applications to random graph and hypergraph models.
arXiv · PDF
[Title of your fluctuations paper]
with [coauthors] · Preprint
Fluctuation results and high-temperature central limit theorems for Potts-type models.
arXiv · PDF
[Title of your IEEE Transactions on Information Theory paper]
with [coauthors] · IEEE Transactions on Information Theory
Journal · PDF
[Title of your short arXiv note]
with Aditya Ramdas · Preprint
arXiv · PDF
Tip: for the job market, put your strongest and newest papers first. You do not need a Google Scholar profile here; direct arXiv and journal links are enough.

Talks

[Talk title]

[Seminar / conference], [Institution], [Month Year]

Monochromatic Subgraph Counts in Sparse Erdős–Rényi Random Graphs

Short talk · July 2026
Keep this section selective. Three to six recent or especially relevant talks are enough.

Teaching

Columbia University

Add courses for which you were instructor, teaching assistant, or discussion-section leader.

Teaching Observation Fellow

Columbia University, 2026–27

Contact

Department of Statistics
Columbia University
New York, NY

Email: YOUR_EMAIL@columbia.edu
arXiv · Columbia profile