Scholar
Zachary Lubberts
Google Scholar ID: yAQC97oAAAAJ
Assistant Professor, University of Virginia
Citations & Impact
Citations
188
H-index
6
i10-index
6
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Publications include: 'Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels' (Journal of the American Statistical Association), 'Perfect clustering in nonuniform hypergraphs' (arXiv:2504.08980), 'Limiting distributions of ratios of Binomial random variables' (The Oculus undergraduate research journal), 'Euclidean mirrors and first-order changepoints in network time series' (arXiv:2405.11111), 'Euclidean Mirrors and Dynamics in Network Time Series' (Journal of the American Statistical Association), 'Random line graphs and inference for networks with edge attributes' (Bernoulli). Received CosmicAI Seed Funding grant.
Research Experience
- Dissertation titled 'Generating Tight Wavelet Frames from Sums of Squares Representations' used tools from real algebraic geometry to construct nonseparable multivariate tight wavelet frames with many vanishing moments. These frames can be used to better capture signals with strong directional content that is not aligned with the main coordinate axes, useful for compression, denoising, or signal extraction.
Education
- PhD from Johns Hopkins University in 2019, advised by Youngmi Hur (now at Yonsei University in Seoul, Korea). Undergraduate studies in Philosophy, Applied Math, and Statistics also at JHU (2010-2013).
Background
- Data scientist, with research interests in optimization, programming, signal processing, probability and statistics, and a lot of linear algebra. Recent work has focused on statistics on graphs and natural language processing.
Miscellany
- Teaches courses on a wide range of topics, including mathematical computing, optimization, probability and statistics, and real analysis, to students at all levels of undergraduate, masters, and PhD study.
Co-authors