Interpretable Metric Learning in Comparative Metagenomics: The Adaptive Haar-like Distance

with Evan D. Gorman (accepted)

Sparsification of Covariance Matrices of K-regular Trees

with Sean Svihla (accepted)

Sparsification of large ultrametric matrices: insights into the microbial Tree of Life

Proceedings of the Royal Society A: Mathematical, Physical, and Engineering Sciences

with Evan D. Gorman

On latent idealized models in symbolic datasets: unveiling signals in noisy sequencing data

Journal of Mathematical Biology

with Antony Pearson

Levenshtein graphs: Resolvability, automorphisms & determining sets

Discrete Mathematics

with Perrin E. Ruth

Getting the lay of the land in discrete space: A survey of metric dimension and its applications

SIAM Review

with Richard C. Tillquist & Rafael M. Frongillo

Truncated metric dimension for finite graphs

Discrete Applied Mathematics

with Richard C. Tillquist & Rafael M. Frongillo

Hidden independence in unstructured probabilistic models

Proceedings of the 31st International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2020)

with Antony Pearson

Resolvability of Hamming Graphs

SIAM Journal on Discrete Mathematics

with Lucas Laird, Richard C Tillquist & Stephen Becker