I am broadly interested probability, analysis, highdimensional geometry and combinatorics. Most of my research centers on Random Matrix Theory, which intersects all of these fields, and which has applications to random graphs, mathematical physics, theoretical computer science, neuroscience and ecology.
Papers and preprints:

Circular law for the sum of random permutation matrices (with Anirban Basak and Ofer Zeitouni). arXivElectron. J. Probab., 23:1–51, 2018. doi:10.1214/18EJP162

The circular law for random regular digraphs. arXivPreprint.

Limiting spectral distribution for nonHermitian random matrices with a variance profile (with Walid Hachem, Jamal Najim and David Renfrew). arXivPreprint.

Lower bounds for the smallest singular value of structured random matrices. arXivAnnals of Probability, to appear.

Spectral properties of nonHermitian random matrices. urlPhD Thesis, UCLA.

Size biased couplings and the spectral gap for random regular graphs (with Larry Goldstein and Toby Johnson). arXivAnnals of Probability, 46(1):72125, 2018. doi:10.1214/17AOP1180

The circular law for random regular digraphs with random edge weights. arXivRandom Matrices: Theory Appl., 06, 1750012, 2017. doi:10.1142/S2010326317500125.

Discrepancy properties for random regular digraphs. arXivRandom Struct. Algor., 50:23–58, 2016. doi:10.1002/rsa.20643.

On the singularity of adjacency matrices for random regular digraphs. arXivProbab. Theory Relat. Fields, 167(1):143200, Feb 2017. doi:10.1007/s0044001506798.
Slides:

Circular laws for random regular digraphs. pdfAMS Fall Western Sectional Meeting, UC Riverside, November 2017

Inhomogeneous circular laws for random matrices with nonidentically distributed entries. pdfProbability and Mathematical Physics Seminar, UC Davis, April 2017

Random regular digraphs: singularity and spectrum. pdfProbability Seminar, Stanford, November 2015